Overview

Dataset statistics

Number of variables28
Number of observations65
Missing cells27
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.3 KiB
Average record size in memory226.0 B

Variable types

Numeric9
Categorical19

Alerts

airdate has constant value "2020-12-26" Constant
_embedded_show_dvdCountry has constant value "nan" Constant
url has a high cardinality: 65 distinct values High cardinality
name has a high cardinality: 60 distinct values High cardinality
_links_self_href has a high cardinality: 65 distinct values High cardinality
runtime is highly correlated with _embedded_show_runtime and 1 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with runtime and 1 other fieldsHigh correlation
season is highly correlated with number and 2 other fieldsHigh correlation
number is highly correlated with season and 2 other fieldsHigh correlation
runtime is highly correlated with season and 3 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with season and 3 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with runtime and 1 other fieldsHigh correlation
runtime is highly correlated with _embedded_show_runtime and 1 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_officialSite is highly correlated with _embedded_show_summary and 15 other fieldsHigh correlation
summary is highly correlated with url and 4 other fieldsHigh correlation
_embedded_show_summary is highly correlated with _embedded_show_officialSite and 14 other fieldsHigh correlation
_embedded_show_type is highly correlated with _embedded_show_officialSite and 8 other fieldsHigh correlation
_embedded_show_status is highly correlated with _embedded_show_officialSite and 10 other fieldsHigh correlation
url is highly correlated with _embedded_show_officialSite and 17 other fieldsHigh correlation
_embedded_show_ended is highly correlated with _embedded_show_officialSite and 11 other fieldsHigh correlation
_embedded_show_name is highly correlated with _embedded_show_officialSite and 15 other fieldsHigh correlation
_embedded_show_premiered is highly correlated with _embedded_show_officialSite and 15 other fieldsHigh correlation
name is highly correlated with summary and 4 other fieldsHigh correlation
airdate is highly correlated with _embedded_show_officialSite and 17 other fieldsHigh correlation
airtime is highly correlated with _embedded_show_officialSite and 10 other fieldsHigh correlation
_links_self_href is highly correlated with _embedded_show_officialSite and 17 other fieldsHigh correlation
_embedded_show_genres is highly correlated with _embedded_show_officialSite and 12 other fieldsHigh correlation
type is highly correlated with _embedded_show_officialSite and 9 other fieldsHigh correlation
_embedded_show_url is highly correlated with _embedded_show_officialSite and 15 other fieldsHigh correlation
_embedded_show_language is highly correlated with _embedded_show_officialSite and 10 other fieldsHigh correlation
_embedded_show_dvdCountry is highly correlated with _embedded_show_officialSite and 17 other fieldsHigh correlation
airstamp is highly correlated with _embedded_show_officialSite and 13 other fieldsHigh correlation
id is highly correlated with url and 19 other fieldsHigh correlation
url is highly correlated with id and 24 other fieldsHigh correlation
name is highly correlated with id and 19 other fieldsHigh correlation
season is highly correlated with id and 15 other fieldsHigh correlation
number is highly correlated with id and 15 other fieldsHigh correlation
type is highly correlated with url and 8 other fieldsHigh correlation
airtime is highly correlated with id and 18 other fieldsHigh correlation
airstamp is highly correlated with id and 20 other fieldsHigh correlation
runtime is highly correlated with id and 22 other fieldsHigh correlation
summary is highly correlated with url and 4 other fieldsHigh correlation
_embedded_show_id is highly correlated with id and 22 other fieldsHigh correlation
_embedded_show_url is highly correlated with id and 23 other fieldsHigh correlation
_embedded_show_name is highly correlated with id and 23 other fieldsHigh correlation
_embedded_show_type is highly correlated with id and 21 other fieldsHigh correlation
_embedded_show_language is highly correlated with id and 21 other fieldsHigh correlation
_embedded_show_genres is highly correlated with id and 20 other fieldsHigh correlation
_embedded_show_status is highly correlated with url and 18 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with id and 21 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with id and 22 other fieldsHigh correlation
_embedded_show_premiered is highly correlated with id and 23 other fieldsHigh correlation
_embedded_show_ended is highly correlated with url and 16 other fieldsHigh correlation
_embedded_show_officialSite is highly correlated with id and 23 other fieldsHigh correlation
_embedded_show_weight is highly correlated with url and 20 other fieldsHigh correlation
_embedded_show_summary is highly correlated with id and 22 other fieldsHigh correlation
_embedded_show_updated is highly correlated with id and 19 other fieldsHigh correlation
_links_self_href is highly correlated with id and 24 other fieldsHigh correlation
number has 1 (1.5%) missing values Missing
runtime has 4 (6.2%) missing values Missing
_embedded_show_runtime has 18 (27.7%) missing values Missing
_embedded_show_averageRuntime has 4 (6.2%) missing values Missing
url is uniformly distributed Uniform
name is uniformly distributed Uniform
_links_self_href is uniformly distributed Uniform
id has unique values Unique
url has unique values Unique
_links_self_href has unique values Unique

Reproduction

Analysis started2022-05-10 02:21:29.258597
Analysis finished2022-05-10 02:21:50.818845
Duration21.56 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

id
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2025078.231
Minimum1953790
Maximum2318112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size648.0 B
2022-05-09T21:21:50.890062image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1953790
5-th percentile1972577.2
Q11985593
median1992717
Q32000071
95-th percentile2230182
Maximum2318112
Range364322
Interquartile range (IQR)14478

Descriptive statistics

Standard deviation82565.03149
Coefficient of variation (CV)0.04077127996
Kurtosis4.18412162
Mean2025078.231
Median Absolute Deviation (MAD)7126
Skewness2.223501365
Sum131630085
Variance6816984425
MonotonicityNot monotonic
2022-05-09T21:21:50.991636image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19894931
 
1.5%
19927491
 
1.5%
19927131
 
1.5%
19927141
 
1.5%
19771881
 
1.5%
19947061
 
1.5%
19947071
 
1.5%
19947081
 
1.5%
19947091
 
1.5%
19975301
 
1.5%
Other values (55)55
84.6%
ValueCountFrequency (%)
19537901
1.5%
19612891
1.5%
19620591
1.5%
19725771
1.5%
19725781
1.5%
19762271
1.5%
19769481
1.5%
19771881
1.5%
19810731
1.5%
19813541
1.5%
ValueCountFrequency (%)
23181121
1.5%
22893301
1.5%
22698011
1.5%
22422781
1.5%
21817981
1.5%
21761431
1.5%
21389271
1.5%
21376061
1.5%
21135881
1.5%
21135871
1.5%

url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size648.0 B
https://www.tvmaze.com/episodes/1989493/poslednij-ministr-s01-special-korotkij-den
 
1
https://www.tvmaze.com/episodes/1992749/world-war-two-week-by-week-3x17-december-26-1941
 
1
https://www.tvmaze.com/episodes/1992713/detention-1x07-re-re-detention
 
1
https://www.tvmaze.com/episodes/1992714/detention-1x08-rain-of-freedom
 
1
https://www.tvmaze.com/episodes/1977188/pearl-next-door-1x06-sagittarius-season
 
1
Other values (60)
60 

Length

Max length160
Median length88
Mean length79.75384615
Min length61

Characters and Unicode

Total characters5184
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/1989493/poslednij-ministr-s01-special-korotkij-den
2nd rowhttps://www.tvmaze.com/episodes/2269801/manaki-1x08-naloznicy-podzemela-delo-manaka-mohova
3rd rowhttps://www.tvmaze.com/episodes/1993456/soul-land-7x06-di136ji
4th rowhttps://www.tvmaze.com/episodes/2138927/tokyo-joshi-pro-wrestling-2020-12-26-tjpw-2020-final-round-i-hope-there-are-lots-of-fun-and-happy-things-to-do-next-year
5th rowhttps://www.tvmaze.com/episodes/1962059/heaven-officials-blessing-1x10-bygone-banyue-days

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/episodes/1989493/poslednij-ministr-s01-special-korotkij-den1
 
1.5%
https://www.tvmaze.com/episodes/1992749/world-war-two-week-by-week-3x17-december-26-19411
 
1.5%
https://www.tvmaze.com/episodes/1992713/detention-1x07-re-re-detention1
 
1.5%
https://www.tvmaze.com/episodes/1992714/detention-1x08-rain-of-freedom1
 
1.5%
https://www.tvmaze.com/episodes/1977188/pearl-next-door-1x06-sagittarius-season1
 
1.5%
https://www.tvmaze.com/episodes/1994706/the-controllers-1x01-episode-11
 
1.5%
https://www.tvmaze.com/episodes/1994707/the-controllers-1x02-episode-21
 
1.5%
https://www.tvmaze.com/episodes/1994708/the-controllers-1x03-episode-31
 
1.5%
https://www.tvmaze.com/episodes/1994709/the-controllers-1x04-episode-41
 
1.5%
https://www.tvmaze.com/episodes/1997530/the-penalty-zone-1x23-episode-231
 
1.5%
Other values (55)55
84.6%

Length

2022-05-09T21:21:51.132916image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/1989493/poslednij-ministr-s01-special-korotkij-den1
 
1.5%
https://www.tvmaze.com/episodes/2269801/manaki-1x08-naloznicy-podzemela-delo-manaka-mohova1
 
1.5%
https://www.tvmaze.com/episodes/1993456/soul-land-7x06-di136ji1
 
1.5%
https://www.tvmaze.com/episodes/2138927/tokyo-joshi-pro-wrestling-2020-12-26-tjpw-2020-final-round-i-hope-there-are-lots-of-fun-and-happy-things-to-do-next-year1
 
1.5%
https://www.tvmaze.com/episodes/1962059/heaven-officials-blessing-1x10-bygone-banyue-days1
 
1.5%
https://www.tvmaze.com/episodes/1972577/the-wolf-1x35-episode-351
 
1.5%
https://www.tvmaze.com/episodes/1972578/the-wolf-1x36-episode-361
 
1.5%
https://www.tvmaze.com/episodes/1994246/a-love-so-romantic-1x05-episode-51
 
1.5%
https://www.tvmaze.com/episodes/1994247/a-love-so-romantic-1x06-episode-61
 
1.5%
https://www.tvmaze.com/episodes/2005755/legend-of-yun-qian-1x08-episode-81
 
1.5%
Other values (55)55
84.6%

Most occurring characters

ValueCountFrequency (%)
e435
 
8.4%
-409
 
7.9%
s326
 
6.3%
/325
 
6.3%
t321
 
6.2%
o316
 
6.1%
w223
 
4.3%
a189
 
3.6%
p187
 
3.6%
i181
 
3.5%
Other values (30)2272
43.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3528
68.1%
Decimal Number727
 
14.0%
Other Punctuation520
 
10.0%
Dash Punctuation409
 
7.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e435
12.3%
s326
 
9.2%
t321
 
9.1%
o316
 
9.0%
w223
 
6.3%
a189
 
5.4%
p187
 
5.3%
i181
 
5.1%
m166
 
4.7%
d138
 
3.9%
Other values (16)1046
29.6%
Decimal Number
ValueCountFrequency (%)
1144
19.8%
0105
14.4%
9103
14.2%
296
13.2%
359
8.1%
753
 
7.3%
550
 
6.9%
844
 
6.1%
640
 
5.5%
433
 
4.5%
Other Punctuation
ValueCountFrequency (%)
/325
62.5%
.130
 
25.0%
:65
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-409
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3528
68.1%
Common1656
31.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e435
12.3%
s326
 
9.2%
t321
 
9.1%
o316
 
9.0%
w223
 
6.3%
a189
 
5.4%
p187
 
5.3%
i181
 
5.1%
m166
 
4.7%
d138
 
3.9%
Other values (16)1046
29.6%
Common
ValueCountFrequency (%)
-409
24.7%
/325
19.6%
1144
 
8.7%
.130
 
7.9%
0105
 
6.3%
9103
 
6.2%
296
 
5.8%
:65
 
3.9%
359
 
3.6%
753
 
3.2%
Other values (4)167
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII5184
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e435
 
8.4%
-409
 
7.9%
s326
 
6.3%
/325
 
6.3%
t321
 
6.2%
o316
 
6.1%
w223
 
4.3%
a189
 
3.6%
p187
 
3.6%
i181
 
3.5%
Other values (30)2272
43.8%

name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct60
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size648.0 B
Episode 1
 
2
Episode 8
 
2
Episode 23
 
2
Episode 24
 
2
Episode 2
 
2
Other values (55)
55 

Length

Max length87
Median length29
Mean length16.70769231
Min length3

Characters and Unicode

Total characters1086
Distinct characters104
Distinct categories8 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)84.6%

Sample

1st rowКороткий день
2nd rowНаложницы подземелья. Дело маньяка Мохова
3rd row第136集
4th rowTJPW 2020 Final Round ~ I Hope There Are Lots Of Fun And Happy Things To Do Next Year ~
5th rowBygone Banyue Days

Common Values

ValueCountFrequency (%)
Episode 12
 
3.1%
Episode 82
 
3.1%
Episode 232
 
3.1%
Episode 242
 
3.1%
Episode 22
 
3.1%
Короткий день1
 
1.5%
Blippi Learn About Planes At The Museum Of Flight | Educational Videos For Kids1
 
1.5%
Into the Hole - Part 21
 
1.5%
Re: Re: Detention1
 
1.5%
Rain of Freedom1
 
1.5%
Other values (50)50
76.9%

Length

2022-05-09T21:21:51.242657image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
episode18
 
8.7%
the14
 
6.8%
5
 
2.4%
of4
 
1.9%
year3
 
1.4%
20203
 
1.4%
23
 
1.4%
262
 
1.0%
what2
 
1.0%
show2
 
1.0%
Other values (140)151
72.9%

Most occurring characters

ValueCountFrequency (%)
142
 
13.1%
e107
 
9.9%
o70
 
6.4%
i50
 
4.6%
a47
 
4.3%
r43
 
4.0%
t40
 
3.7%
s39
 
3.6%
d39
 
3.6%
h36
 
3.3%
Other values (94)473
43.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter707
65.1%
Uppercase Letter160
 
14.7%
Space Separator142
 
13.1%
Decimal Number49
 
4.5%
Other Letter14
 
1.3%
Other Punctuation8
 
0.7%
Dash Punctuation3
 
0.3%
Math Symbol3
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e107
15.1%
o70
 
9.9%
i50
 
7.1%
a47
 
6.6%
r43
 
6.1%
t40
 
5.7%
s39
 
5.5%
d39
 
5.5%
h36
 
5.1%
n35
 
5.0%
Other values (35)201
28.4%
Uppercase Letter
ValueCountFrequency (%)
E24
15.0%
T23
14.4%
S14
 
8.8%
D11
 
6.9%
B10
 
6.2%
R8
 
5.0%
A7
 
4.4%
W7
 
4.4%
L6
 
3.8%
F6
 
3.8%
Other values (17)44
27.5%
Other Letter
ValueCountFrequency (%)
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
Other values (4)4
28.6%
Decimal Number
ValueCountFrequency (%)
215
30.6%
06
 
12.2%
36
 
12.2%
66
 
12.2%
15
 
10.2%
44
 
8.2%
53
 
6.1%
82
 
4.1%
92
 
4.1%
Other Punctuation
ValueCountFrequency (%)
,2
25.0%
:2
25.0%
?2
25.0%
.1
12.5%
&1
12.5%
Math Symbol
ValueCountFrequency (%)
~2
66.7%
|1
33.3%
Space Separator
ValueCountFrequency (%)
142
100.0%
Dash Punctuation
ValueCountFrequency (%)
-3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin819
75.4%
Common205
 
18.9%
Cyrillic48
 
4.4%
Hangul12
 
1.1%
Han2
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e107
 
13.1%
o70
 
8.5%
i50
 
6.1%
a47
 
5.7%
r43
 
5.3%
t40
 
4.9%
s39
 
4.8%
d39
 
4.8%
h36
 
4.4%
n35
 
4.3%
Other values (37)313
38.2%
Cyrillic
ValueCountFrequency (%)
о7
14.6%
а4
 
8.3%
е4
 
8.3%
ь3
 
6.2%
л3
 
6.2%
н3
 
6.2%
я2
 
4.2%
м2
 
4.2%
д2
 
4.2%
и2
 
4.2%
Other values (15)16
33.3%
Common
ValueCountFrequency (%)
142
69.3%
215
 
7.3%
06
 
2.9%
36
 
2.9%
66
 
2.9%
15
 
2.4%
44
 
2.0%
53
 
1.5%
-3
 
1.5%
82
 
1.0%
Other values (8)13
 
6.3%
Hangul
ValueCountFrequency (%)
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
Other values (2)2
16.7%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1023
94.2%
Cyrillic48
 
4.4%
Hangul12
 
1.1%
CJK2
 
0.2%
None1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
142
 
13.9%
e107
 
10.5%
o70
 
6.8%
i50
 
4.9%
a47
 
4.6%
r43
 
4.2%
t40
 
3.9%
s39
 
3.8%
d39
 
3.8%
h36
 
3.5%
Other values (54)410
40.1%
Cyrillic
ValueCountFrequency (%)
о7
14.6%
а4
 
8.3%
е4
 
8.3%
ь3
 
6.2%
л3
 
6.2%
н3
 
6.2%
я2
 
4.2%
м2
 
4.2%
д2
 
4.2%
и2
 
4.2%
Other values (15)16
33.3%
Hangul
ValueCountFrequency (%)
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
Other values (2)2
16.7%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%
None
ValueCountFrequency (%)
å1
100.0%

season
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct7
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.1692308
Minimum1
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size648.0 B
2022-05-09T21:21:51.320962image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile2020
Maximum2020
Range2019
Interquartile range (IQR)2

Descriptive statistics

Standard deviation541.9394734
Coefficient of variation (CV)3.448127033
Kurtosis8.839591941
Mean157.1692308
Median Absolute Deviation (MAD)0
Skewness3.250899345
Sum10216
Variance293698.3928
MonotonicityNot monotonic
2022-05-09T21:21:51.399155image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
137
56.9%
318
27.7%
20205
 
7.7%
52
 
3.1%
71
 
1.5%
21
 
1.5%
61
 
1.5%
ValueCountFrequency (%)
137
56.9%
21
 
1.5%
318
27.7%
52
 
3.1%
61
 
1.5%
71
 
1.5%
20205
 
7.7%
ValueCountFrequency (%)
20205
 
7.7%
71
 
1.5%
61
 
1.5%
52
 
3.1%
318
27.7%
21
 
1.5%
137
56.9%

number
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct25
Distinct (%)39.1%
Missing1
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean18.734375
Minimum1
Maximum353
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size648.0 B
2022-05-09T21:21:51.493111image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median7
Q311.25
95-th percentile53.5
Maximum353
Range352
Interquartile range (IQR)6.25

Descriptive statistics

Standard deviation47.98519685
Coefficient of variation (CV)2.561344953
Kurtosis39.41004066
Mean18.734375
Median Absolute Deviation (MAD)3
Skewness5.985099247
Sum1199
Variance2302.579117
MonotonicityNot monotonic
2022-05-09T21:21:51.587177image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
68
12.3%
87
 
10.8%
76
 
9.2%
15
 
7.7%
24
 
6.2%
54
 
6.2%
33
 
4.6%
43
 
4.6%
93
 
4.6%
103
 
4.6%
Other values (15)18
27.7%
ValueCountFrequency (%)
15
7.7%
24
6.2%
33
 
4.6%
43
 
4.6%
54
6.2%
68
12.3%
76
9.2%
87
10.8%
93
 
4.6%
103
 
4.6%
ValueCountFrequency (%)
3531
1.5%
1631
1.5%
561
1.5%
551
1.5%
451
1.5%
361
1.5%
351
1.5%
242
3.1%
232
3.1%
201
1.5%

type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size648.0 B
regular
64 
significant_special
 
1

Length

Max length19
Median length7
Mean length7.184615385
Min length7

Characters and Unicode

Total characters467
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st rowsignificant_special
2nd rowregular
3rd rowregular
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular64
98.5%
significant_special1
 
1.5%

Length

2022-05-09T21:21:51.681245image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:21:51.773688image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
regular64
98.5%
significant_special1
 
1.5%

Most occurring characters

ValueCountFrequency (%)
r128
27.4%
a66
14.1%
e65
13.9%
g65
13.9%
l65
13.9%
u64
13.7%
i4
 
0.9%
s2
 
0.4%
n2
 
0.4%
c2
 
0.4%
Other values (4)4
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter466
99.8%
Connector Punctuation1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r128
27.5%
a66
14.2%
e65
13.9%
g65
13.9%
l65
13.9%
u64
13.7%
i4
 
0.9%
s2
 
0.4%
n2
 
0.4%
c2
 
0.4%
Other values (3)3
 
0.6%
Connector Punctuation
ValueCountFrequency (%)
_1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin466
99.8%
Common1
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
r128
27.5%
a66
14.2%
e65
13.9%
g65
13.9%
l65
13.9%
u64
13.7%
i4
 
0.9%
s2
 
0.4%
n2
 
0.4%
c2
 
0.4%
Other values (3)3
 
0.6%
Common
ValueCountFrequency (%)
_1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII467
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r128
27.4%
a66
14.1%
e65
13.9%
g65
13.9%
l65
13.9%
u64
13.7%
i4
 
0.9%
s2
 
0.4%
n2
 
0.4%
c2
 
0.4%
Other values (4)4
 
0.9%

airdate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size648.0 B
2020-12-26
65 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters650
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-26
2nd row2020-12-26
3rd row2020-12-26
4th row2020-12-26
5th row2020-12-26

Common Values

ValueCountFrequency (%)
2020-12-2665
100.0%

Length

2022-05-09T21:21:51.857972image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:21:51.962910image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-2665
100.0%

Most occurring characters

ValueCountFrequency (%)
2260
40.0%
0130
20.0%
-130
20.0%
165
 
10.0%
665
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number520
80.0%
Dash Punctuation130
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2260
50.0%
0130
25.0%
165
 
12.5%
665
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-130
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common650
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2260
40.0%
0130
20.0%
-130
20.0%
165
 
10.0%
665
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII650
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2260
40.0%
0130
20.0%
-130
20.0%
165
 
10.0%
665
 
10.0%

airtime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct11
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Memory size648.0 B
nan
44 
16:00
20:00
 
4
12:00
 
2
18:00
 
2
Other values (6)

Length

Max length5
Median length3
Mean length3.646153846
Min length3

Characters and Unicode

Total characters237
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)9.2%

Sample

1st rownan
2nd rownan
3rd row10:00
4th row12:00
5th row11:00

Common Values

ValueCountFrequency (%)
nan44
67.7%
16:007
 
10.8%
20:004
 
6.2%
12:002
 
3.1%
18:002
 
3.1%
10:001
 
1.5%
11:001
 
1.5%
17:001
 
1.5%
22:451
 
1.5%
20:501
 
1.5%

Length

2022-05-09T21:21:52.141254image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nan44
67.7%
16:007
 
10.8%
20:004
 
6.2%
12:002
 
3.1%
18:002
 
3.1%
10:001
 
1.5%
11:001
 
1.5%
17:001
 
1.5%
22:451
 
1.5%
20:501
 
1.5%

Most occurring characters

ValueCountFrequency (%)
n88
37.1%
045
19.0%
a44
18.6%
:21
 
8.9%
115
 
6.3%
211
 
4.6%
67
 
3.0%
82
 
0.8%
52
 
0.8%
71
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter132
55.7%
Decimal Number84
35.4%
Other Punctuation21
 
8.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
045
53.6%
115
 
17.9%
211
 
13.1%
67
 
8.3%
82
 
2.4%
52
 
2.4%
71
 
1.2%
41
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
n88
66.7%
a44
33.3%
Other Punctuation
ValueCountFrequency (%)
:21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin132
55.7%
Common105
44.3%

Most frequent character per script

Common
ValueCountFrequency (%)
045
42.9%
:21
20.0%
115
 
14.3%
211
 
10.5%
67
 
6.7%
82
 
1.9%
52
 
1.9%
71
 
1.0%
41
 
1.0%
Latin
ValueCountFrequency (%)
n88
66.7%
a44
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII237
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n88
37.1%
045
19.0%
a44
18.6%
:21
 
8.9%
115
 
6.3%
211
 
4.6%
67
 
3.0%
82
 
0.8%
52
 
0.8%
71
 
0.4%

airstamp
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct13
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size648.0 B
2020-12-26T12:00:00+00:00
37 
2020-12-26T21:00:00+00:00
2020-12-26T04:00:00+00:00
2020-12-26T17:00:00+00:00
2020-12-26T00:00:00+00:00
 
2
Other values (8)

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1625
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)10.8%

Sample

1st row2020-12-26T00:00:00+00:00
2nd row2020-12-26T00:00:00+00:00
3rd row2020-12-26T02:00:00+00:00
4th row2020-12-26T03:00:00+00:00
5th row2020-12-26T03:00:00+00:00

Common Values

ValueCountFrequency (%)
2020-12-26T12:00:00+00:0037
56.9%
2020-12-26T21:00:00+00:007
 
10.8%
2020-12-26T04:00:00+00:006
 
9.2%
2020-12-26T17:00:00+00:004
 
6.2%
2020-12-26T00:00:00+00:002
 
3.1%
2020-12-26T03:00:00+00:002
 
3.1%
2020-12-26T02:00:00+00:001
 
1.5%
2020-12-26T08:00:00+00:001
 
1.5%
2020-12-26T09:00:00+00:001
 
1.5%
2020-12-26T11:00:00+00:001
 
1.5%
Other values (3)3
 
4.6%

Length

2022-05-09T21:21:52.219811image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-26t12:00:00+00:0037
56.9%
2020-12-26t21:00:00+00:007
 
10.8%
2020-12-26t04:00:00+00:006
 
9.2%
2020-12-26t17:00:00+00:004
 
6.2%
2020-12-26t00:00:00+00:002
 
3.1%
2020-12-26t03:00:00+00:002
 
3.1%
2020-12-26t02:00:00+00:001
 
1.5%
2020-12-26t08:00:00+00:001
 
1.5%
2020-12-26t09:00:00+00:001
 
1.5%
2020-12-26t11:00:00+00:001
 
1.5%
Other values (3)3
 
4.6%

Most occurring characters

ValueCountFrequency (%)
0662
40.7%
2307
18.9%
:195
 
12.0%
-130
 
8.0%
1117
 
7.2%
665
 
4.0%
T65
 
4.0%
+65
 
4.0%
48
 
0.5%
74
 
0.2%
Other values (4)7
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1170
72.0%
Other Punctuation195
 
12.0%
Dash Punctuation130
 
8.0%
Uppercase Letter65
 
4.0%
Math Symbol65
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0662
56.6%
2307
26.2%
1117
 
10.0%
665
 
5.6%
48
 
0.7%
74
 
0.3%
32
 
0.2%
92
 
0.2%
52
 
0.2%
81
 
0.1%
Other Punctuation
ValueCountFrequency (%)
:195
100.0%
Dash Punctuation
ValueCountFrequency (%)
-130
100.0%
Uppercase Letter
ValueCountFrequency (%)
T65
100.0%
Math Symbol
ValueCountFrequency (%)
+65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common1560
96.0%
Latin65
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0662
42.4%
2307
19.7%
:195
 
12.5%
-130
 
8.3%
1117
 
7.5%
665
 
4.2%
+65
 
4.2%
48
 
0.5%
74
 
0.3%
32
 
0.1%
Other values (3)5
 
0.3%
Latin
ValueCountFrequency (%)
T65
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1625
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0662
40.7%
2307
18.9%
:195
 
12.0%
-130
 
8.0%
1117
 
7.2%
665
 
4.0%
T65
 
4.0%
+65
 
4.0%
48
 
0.5%
74
 
0.2%
Other values (4)7
 
0.4%

runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct19
Distinct (%)31.1%
Missing4
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean33.40983607
Minimum4
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size648.0 B
2022-05-09T21:21:52.313789image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8
Q124
median25
Q345
95-th percentile60
Maximum120
Range116
Interquartile range (IQR)21

Descriptive statistics

Standard deviation22.3512692
Coefficient of variation (CV)0.6690026601
Kurtosis5.696275101
Mean33.40983607
Median Absolute Deviation (MAD)16
Skewness1.870664614
Sum2038
Variance499.579235
MonotonicityNot monotonic
2022-05-09T21:21:52.392571image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2415
23.1%
4513
20.0%
85
 
7.7%
604
 
6.2%
303
 
4.6%
1202
 
3.1%
252
 
3.1%
42
 
3.1%
162
 
3.1%
532
 
3.1%
Other values (9)11
16.9%
(Missing)4
 
6.2%
ValueCountFrequency (%)
42
 
3.1%
85
 
7.7%
92
 
3.1%
121
 
1.5%
162
 
3.1%
201
 
1.5%
212
 
3.1%
2415
23.1%
252
 
3.1%
291
 
1.5%
ValueCountFrequency (%)
1202
 
3.1%
604
 
6.2%
532
 
3.1%
501
 
1.5%
4513
20.0%
431
 
1.5%
401
 
1.5%
331
 
1.5%
303
 
4.6%
291
 
1.5%

summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct34
Distinct (%)52.3%
Missing0
Missing (%)0.0%
Memory size648.0 B
nan
32 
<p>Chef Lovely's friends are coming to celebrate her birthday, so she cooks her favorite foods -- an Oxtail Bourguignon with Mashed Potatoes, Pancetta Brussels Sprouts, Strawberry Champagne Cupcakes and a Birthday Martini.</p>
 
1
<p>As his troubled past with Jui-hsin comes to light, Wei Chung-ting helps Yun-hsiang remember her own identity. Panic spreads throughout the campus.</p><p><br /> </p>
 
1
<p>Yun-hsiang races against the clock to free herself from Jui-hsin's time loop and urges her spirit to find redemption.</p>
 
1
<p>Jealousy brews as Pearl agrees to go out on a face to face date with one of the girls.</p>
 
1
Other values (29)
29 

Length

Max length378
Median length251
Mean length78.56923077
Min length3

Characters and Unicode

Total characters5107
Distinct characters61
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)50.8%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan32
49.2%
<p>Chef Lovely's friends are coming to celebrate her birthday, so she cooks her favorite foods -- an Oxtail Bourguignon with Mashed Potatoes, Pancetta Brussels Sprouts, Strawberry Champagne Cupcakes and a Birthday Martini.</p>1
 
1.5%
<p>As his troubled past with Jui-hsin comes to light, Wei Chung-ting helps Yun-hsiang remember her own identity. Panic spreads throughout the campus.</p><p><br /> </p>1
 
1.5%
<p>Yun-hsiang races against the clock to free herself from Jui-hsin's time loop and urges her spirit to find redemption.</p>1
 
1.5%
<p>Jealousy brews as Pearl agrees to go out on a face to face date with one of the girls.</p>1
 
1.5%
<p>Tregaye Fraser and her best friend, Barack, get their new pups together for a playdate. While the puppies play, she and Barack make a lunch featuring Blackened Chicken Salad, a Corn and Cheddar Chowder and sweet Oatmeal Chocolate Chunk Cookies.</p>1
 
1.5%
<p>The holidays are over and it's time to go back to the outside world. What does this mean for James and Dale?</p>1
 
1.5%
<p><b>Grant, Ally, and Lily open some nice gifts from Sam.</b></p>1
 
1.5%
<p>Will Njobvu presents a look behind the scenes at the most secretive show on TV. Here he's joined by Joel Dommett, Jonathan Ross, Rita Ora, Davina McCall and Mo Gilligan.</p>1
 
1.5%
<p>When little sister Chrissy steals something from the store while playing a game, Cory tries to be a good big brother by taking the blame himself.</p><p><br /> </p>1
 
1.5%
Other values (24)24
36.9%

Length

2022-05-09T21:21:52.502691image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the49
 
5.6%
to33
 
3.8%
nan32
 
3.7%
and27
 
3.1%
a26
 
3.0%
p21
 
2.4%
in17
 
1.9%
15
 
1.7%
for9
 
1.0%
are8
 
0.9%
Other values (458)635
72.8%

Most occurring characters

ValueCountFrequency (%)
786
15.4%
e461
 
9.0%
a335
 
6.6%
n296
 
5.8%
t295
 
5.8%
s254
 
5.0%
o253
 
5.0%
i247
 
4.8%
r242
 
4.7%
h221
 
4.3%
Other values (51)1717
33.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3720
72.8%
Space Separator808
 
15.8%
Math Symbol220
 
4.3%
Uppercase Letter175
 
3.4%
Other Punctuation172
 
3.4%
Dash Punctuation12
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e461
12.4%
a335
 
9.0%
n296
 
8.0%
t295
 
7.9%
s254
 
6.8%
o253
 
6.8%
i247
 
6.6%
r242
 
6.5%
h221
 
5.9%
p162
 
4.4%
Other values (15)954
25.6%
Uppercase Letter
ValueCountFrequency (%)
C27
15.4%
T15
 
8.6%
W14
 
8.0%
S14
 
8.0%
M13
 
7.4%
A12
 
6.9%
B9
 
5.1%
G8
 
4.6%
R7
 
4.0%
J7
 
4.0%
Other values (14)49
28.0%
Other Punctuation
ValueCountFrequency (%)
/62
36.0%
.52
30.2%
,34
19.8%
'19
 
11.0%
?4
 
2.3%
!1
 
0.6%
Space Separator
ValueCountFrequency (%)
786
97.3%
 22
 
2.7%
Math Symbol
ValueCountFrequency (%)
<110
50.0%
>110
50.0%
Dash Punctuation
ValueCountFrequency (%)
-10
83.3%
2
 
16.7%

Most occurring scripts

ValueCountFrequency (%)
Latin3895
76.3%
Common1212
 
23.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e461
11.8%
a335
 
8.6%
n296
 
7.6%
t295
 
7.6%
s254
 
6.5%
o253
 
6.5%
i247
 
6.3%
r242
 
6.2%
h221
 
5.7%
p162
 
4.2%
Other values (39)1129
29.0%
Common
ValueCountFrequency (%)
786
64.9%
<110
 
9.1%
>110
 
9.1%
/62
 
5.1%
.52
 
4.3%
,34
 
2.8%
 22
 
1.8%
'19
 
1.6%
-10
 
0.8%
?4
 
0.3%
Other values (2)3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII5083
99.5%
None22
 
0.4%
Punctuation2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
786
15.5%
e461
 
9.1%
a335
 
6.6%
n296
 
5.8%
t295
 
5.8%
s254
 
5.0%
o253
 
5.0%
i247
 
4.9%
r242
 
4.8%
h221
 
4.3%
Other values (49)1693
33.3%
None
ValueCountFrequency (%)
 22
100.0%
Punctuation
ValueCountFrequency (%)
2
100.0%

_embedded_show_id
Real number (ℝ≥0)

HIGH CORRELATION

Distinct37
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48056.24615
Minimum19667
Maximum61755
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size648.0 B
2022-05-09T21:21:52.612346image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum19667
5-th percentile39627
Q142592
median49147
Q352685
95-th percentile57677
Maximum61755
Range42088
Interquartile range (IQR)10093

Descriptive statistics

Standard deviation7144.791965
Coefficient of variation (CV)0.1486756153
Kurtosis2.915041779
Mean48056.24615
Median Absolute Deviation (MAD)3659
Skewness-1.155164265
Sum3123656
Variance51048052.22
MonotonicityNot monotonic
2022-05-09T21:21:52.706597image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
425928
 
12.3%
489227
 
10.8%
396277
 
10.8%
526854
 
6.2%
526652
 
3.1%
528982
 
3.1%
528062
 
3.1%
511252
 
3.1%
527432
 
3.1%
479122
 
3.1%
Other values (27)27
41.5%
ValueCountFrequency (%)
196671
 
1.5%
306061
 
1.5%
355511
 
1.5%
396277
10.8%
402321
 
1.5%
423831
 
1.5%
425928
12.3%
466891
 
1.5%
471081
 
1.5%
479122
 
3.1%
ValueCountFrequency (%)
617551
1.5%
608481
1.5%
596551
1.5%
579451
1.5%
566051
1.5%
538881
1.5%
538511
1.5%
537541
1.5%
534671
1.5%
528982
3.1%

_embedded_show_url
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct37
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Memory size648.0 B
https://www.tvmaze.com/shows/42592/fast-furious-spy-racers
https://www.tvmaze.com/shows/48922/onyx-equinox
https://www.tvmaze.com/shows/39627/go-go-cory-carson
https://www.tvmaze.com/shows/52685/the-controllers
https://www.tvmaze.com/shows/52665/a-love-so-romantic
 
2
Other values (32)
37 

Length

Max length64
Median length60
Mean length51.38461538
Min length41

Characters and Unicode

Total characters3340
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)41.5%

Sample

1st rowhttps://www.tvmaze.com/shows/46689/poslednij-ministr
2nd rowhttps://www.tvmaze.com/shows/48597/manaki
3rd rowhttps://www.tvmaze.com/shows/35551/soul-land
4th rowhttps://www.tvmaze.com/shows/49740/tokyo-joshi-pro-wrestling
5th rowhttps://www.tvmaze.com/shows/51670/heaven-officials-blessing

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/shows/42592/fast-furious-spy-racers8
 
12.3%
https://www.tvmaze.com/shows/48922/onyx-equinox7
 
10.8%
https://www.tvmaze.com/shows/39627/go-go-cory-carson7
 
10.8%
https://www.tvmaze.com/shows/52685/the-controllers4
 
6.2%
https://www.tvmaze.com/shows/52665/a-love-so-romantic2
 
3.1%
https://www.tvmaze.com/shows/52898/legend-of-yun-qian2
 
3.1%
https://www.tvmaze.com/shows/52806/ultimate-note2
 
3.1%
https://www.tvmaze.com/shows/51125/detention2
 
3.1%
https://www.tvmaze.com/shows/52743/the-penalty-zone2
 
3.1%
https://www.tvmaze.com/shows/47912/the-wolf2
 
3.1%
Other values (27)27
41.5%

Length

2022-05-09T21:21:52.816471image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/shows/42592/fast-furious-spy-racers8
 
12.3%
https://www.tvmaze.com/shows/39627/go-go-cory-carson7
 
10.8%
https://www.tvmaze.com/shows/48922/onyx-equinox7
 
10.8%
https://www.tvmaze.com/shows/52685/the-controllers4
 
6.2%
https://www.tvmaze.com/shows/52665/a-love-so-romantic2
 
3.1%
https://www.tvmaze.com/shows/52898/legend-of-yun-qian2
 
3.1%
https://www.tvmaze.com/shows/52806/ultimate-note2
 
3.1%
https://www.tvmaze.com/shows/51125/detention2
 
3.1%
https://www.tvmaze.com/shows/52743/the-penalty-zone2
 
3.1%
https://www.tvmaze.com/shows/47912/the-wolf2
 
3.1%
Other values (27)27
41.5%

Most occurring characters

ValueCountFrequency (%)
/325
 
9.7%
w275
 
8.2%
s270
 
8.1%
t257
 
7.7%
o232
 
6.9%
e162
 
4.9%
h150
 
4.5%
m147
 
4.4%
.130
 
3.9%
-127
 
3.8%
Other values (30)1265
37.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2364
70.8%
Other Punctuation520
 
15.6%
Decimal Number329
 
9.9%
Dash Punctuation127
 
3.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w275
11.6%
s270
11.4%
t257
10.9%
o232
9.8%
e162
 
6.9%
h150
 
6.3%
m147
 
6.2%
a124
 
5.2%
c101
 
4.3%
p82
 
3.5%
Other values (16)564
23.9%
Decimal Number
ValueCountFrequency (%)
260
18.2%
558
17.6%
937
11.2%
436
10.9%
632
9.7%
829
8.8%
323
 
7.0%
722
 
6.7%
117
 
5.2%
015
 
4.6%
Other Punctuation
ValueCountFrequency (%)
/325
62.5%
.130
 
25.0%
:65
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2364
70.8%
Common976
29.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
w275
11.6%
s270
11.4%
t257
10.9%
o232
9.8%
e162
 
6.9%
h150
 
6.3%
m147
 
6.2%
a124
 
5.2%
c101
 
4.3%
p82
 
3.5%
Other values (16)564
23.9%
Common
ValueCountFrequency (%)
/325
33.3%
.130
 
13.3%
-127
 
13.0%
:65
 
6.7%
260
 
6.1%
558
 
5.9%
937
 
3.8%
436
 
3.7%
632
 
3.3%
829
 
3.0%
Other values (4)77
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII3340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/325
 
9.7%
w275
 
8.2%
s270
 
8.1%
t257
 
7.7%
o232
 
6.9%
e162
 
4.9%
h150
 
4.5%
m147
 
4.4%
.130
 
3.9%
-127
 
3.8%
Other values (30)1265
37.9%

_embedded_show_name
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct37
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Memory size648.0 B
Fast & Furious: Spy Racers
Onyx Equinox
Go! Go! Cory Carson
The Controllers
A Love So Romantic
 
2
Other values (32)
37 

Length

Max length30
Median length26
Mean length17.06153846
Min length6

Characters and Unicode

Total characters1109
Distinct characters75
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)41.5%

Sample

1st rowПоследний министр
2nd rowМаньяки
3rd rowSoul Land
4th rowTokyo Joshi Pro Wrestling
5th rowHeaven Official's Blessing

Common Values

ValueCountFrequency (%)
Fast & Furious: Spy Racers8
 
12.3%
Onyx Equinox7
 
10.8%
Go! Go! Cory Carson7
 
10.8%
The Controllers4
 
6.2%
A Love So Romantic2
 
3.1%
Legend of Yun Qian2
 
3.1%
Ultimate Note2
 
3.1%
Detention2
 
3.1%
The Penalty Zone2
 
3.1%
The Wolf2
 
3.1%
Other values (27)27
41.5%

Length

2022-05-09T21:21:52.910331image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
go14
 
7.0%
the12
 
6.0%
racers8
 
4.0%
8
 
4.0%
fast8
 
4.0%
spy8
 
4.0%
furious8
 
4.0%
onyx7
 
3.5%
equinox7
 
3.5%
cory7
 
3.5%
Other values (84)113
56.5%

Most occurring characters

ValueCountFrequency (%)
135
 
12.2%
o90
 
8.1%
e87
 
7.8%
n60
 
5.4%
r59
 
5.3%
s54
 
4.9%
a52
 
4.7%
i50
 
4.5%
t44
 
4.0%
y33
 
3.0%
Other values (65)445
40.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter746
67.3%
Uppercase Letter189
 
17.0%
Space Separator135
 
12.2%
Other Punctuation35
 
3.2%
Decimal Number4
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o90
12.1%
e87
11.7%
n60
 
8.0%
r59
 
7.9%
s54
 
7.2%
a52
 
7.0%
i50
 
6.7%
t44
 
5.9%
y33
 
4.4%
u29
 
3.9%
Other values (32)188
25.2%
Uppercase Letter
ValueCountFrequency (%)
C20
10.6%
S19
10.1%
F18
 
9.5%
T17
 
9.0%
G15
 
7.9%
W13
 
6.9%
R12
 
6.3%
O11
 
5.8%
L9
 
4.8%
E9
 
4.8%
Other values (16)46
24.3%
Other Punctuation
ValueCountFrequency (%)
!14
40.0%
:10
28.6%
&8
22.9%
'3
 
8.6%
Decimal Number
ValueCountFrequency (%)
22
50.0%
02
50.0%
Space Separator
ValueCountFrequency (%)
135
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin912
82.2%
Common174
 
15.7%
Cyrillic23
 
2.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o90
 
9.9%
e87
 
9.5%
n60
 
6.6%
r59
 
6.5%
s54
 
5.9%
a52
 
5.7%
i50
 
5.5%
t44
 
4.8%
y33
 
3.6%
u29
 
3.2%
Other values (41)354
38.8%
Cyrillic
ValueCountFrequency (%)
и4
17.4%
н3
13.0%
с2
 
8.7%
р1
 
4.3%
к1
 
4.3%
я1
 
4.3%
ь1
 
4.3%
а1
 
4.3%
М1
 
4.3%
й1
 
4.3%
Other values (7)7
30.4%
Common
ValueCountFrequency (%)
135
77.6%
!14
 
8.0%
:10
 
5.7%
&8
 
4.6%
'3
 
1.7%
22
 
1.1%
02
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1085
97.8%
Cyrillic23
 
2.1%
None1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
135
 
12.4%
o90
 
8.3%
e87
 
8.0%
n60
 
5.5%
r59
 
5.4%
s54
 
5.0%
a52
 
4.8%
i50
 
4.6%
t44
 
4.1%
y33
 
3.0%
Other values (47)421
38.8%
Cyrillic
ValueCountFrequency (%)
и4
17.4%
н3
13.0%
с2
 
8.7%
р1
 
4.3%
к1
 
4.3%
я1
 
4.3%
ь1
 
4.3%
а1
 
4.3%
М1
 
4.3%
й1
 
4.3%
Other values (7)7
30.4%
None
ValueCountFrequency (%)
å1
100.0%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct8
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size648.0 B
Scripted
26 
Animation
24 
Documentary
Reality
Talk Show
Other values (3)

Length

Max length11
Median length9
Mean length8.446153846
Min length6

Characters and Unicode

Total characters549
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowScripted
2nd rowDocumentary
3rd rowAnimation
4th rowSports
5th rowAnimation

Common Values

ValueCountFrequency (%)
Scripted26
40.0%
Animation24
36.9%
Documentary3
 
4.6%
Reality3
 
4.6%
Talk Show3
 
4.6%
Sports2
 
3.1%
Variety2
 
3.1%
Game Show2
 
3.1%

Length

2022-05-09T21:21:53.031259image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:21:53.147232image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
scripted26
37.1%
animation24
34.3%
show5
 
7.1%
documentary3
 
4.3%
reality3
 
4.3%
talk3
 
4.3%
sports2
 
2.9%
variety2
 
2.9%
game2
 
2.9%

Most occurring characters

ValueCountFrequency (%)
i79
14.4%
t60
10.9%
n51
 
9.3%
a37
 
6.7%
e36
 
6.6%
o34
 
6.2%
S33
 
6.0%
r33
 
6.0%
m29
 
5.3%
c29
 
5.3%
Other values (16)128
23.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter474
86.3%
Uppercase Letter70
 
12.8%
Space Separator5
 
0.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i79
16.7%
t60
12.7%
n51
10.8%
a37
7.8%
e36
7.6%
o34
7.2%
r33
7.0%
m29
 
6.1%
c29
 
6.1%
p28
 
5.9%
Other values (8)58
12.2%
Uppercase Letter
ValueCountFrequency (%)
S33
47.1%
A24
34.3%
D3
 
4.3%
T3
 
4.3%
R3
 
4.3%
V2
 
2.9%
G2
 
2.9%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin544
99.1%
Common5
 
0.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
i79
14.5%
t60
11.0%
n51
9.4%
a37
 
6.8%
e36
 
6.6%
o34
 
6.2%
S33
 
6.1%
r33
 
6.1%
m29
 
5.3%
c29
 
5.3%
Other values (15)123
22.6%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII549
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i79
14.4%
t60
10.9%
n51
 
9.3%
a37
 
6.7%
e36
 
6.6%
o34
 
6.2%
S33
 
6.0%
r33
 
6.0%
m29
 
5.3%
c29
 
5.3%
Other values (16)128
23.3%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct10
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size648.0 B
English
33 
Chinese
18 
Norwegian
 
3
Russian
 
2
Korean
 
2
Other values (5)

Length

Max length9
Median length7
Mean length6.938461538
Min length4

Characters and Unicode

Total characters451
Distinct characters25
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)4.6%

Sample

1st rowRussian
2nd rowRussian
3rd rowChinese
4th rowJapanese
5th rowChinese

Common Values

ValueCountFrequency (%)
English33
50.8%
Chinese18
27.7%
Norwegian3
 
4.6%
Russian2
 
3.1%
Korean2
 
3.1%
Thai2
 
3.1%
Tagalog2
 
3.1%
Japanese1
 
1.5%
Dutch1
 
1.5%
Arabic1
 
1.5%

Length

2022-05-09T21:21:53.256640image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:21:53.366266image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
english33
50.8%
chinese18
27.7%
norwegian3
 
4.6%
russian2
 
3.1%
korean2
 
3.1%
thai2
 
3.1%
tagalog2
 
3.1%
japanese1
 
1.5%
dutch1
 
1.5%
arabic1
 
1.5%

Most occurring characters

ValueCountFrequency (%)
i59
13.1%
n59
13.1%
s56
12.4%
h54
12.0%
e43
9.5%
g40
8.9%
l35
7.8%
E33
7.3%
C18
 
4.0%
a16
 
3.5%
Other values (15)38
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter386
85.6%
Uppercase Letter65
 
14.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i59
15.3%
n59
15.3%
s56
14.5%
h54
14.0%
e43
11.1%
g40
10.4%
l35
9.1%
a16
 
4.1%
o7
 
1.8%
r6
 
1.6%
Other values (6)11
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
E33
50.8%
C18
27.7%
T4
 
6.2%
N3
 
4.6%
R2
 
3.1%
K2
 
3.1%
J1
 
1.5%
D1
 
1.5%
A1
 
1.5%

Most occurring scripts

ValueCountFrequency (%)
Latin451
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
i59
13.1%
n59
13.1%
s56
12.4%
h54
12.0%
e43
9.5%
g40
8.9%
l35
7.8%
E33
7.3%
C18
 
4.0%
a16
 
3.5%
Other values (15)38
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII451
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i59
13.1%
n59
13.1%
s56
12.4%
h54
12.0%
e43
9.5%
g40
8.9%
l35
7.8%
E33
7.3%
C18
 
4.0%
a16
 
3.5%
Other values (15)38
8.4%

_embedded_show_genres
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct23
Distinct (%)35.4%
Missing0
Missing (%)0.0%
Memory size648.0 B
[]
['Action', 'Children', 'Family']
['Action', 'Adventure', 'Fantasy']
['Adventure', 'Children']
['Drama', 'Crime', 'Thriller']
Other values (18)
31 

Length

Max length43
Median length31
Mean length23.09230769
Min length2

Characters and Unicode

Total characters1501
Distinct characters32
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)16.9%

Sample

1st row['Comedy']
2nd row[]
3rd row['Action', 'Adventure', 'Anime', 'Fantasy']
4th row[]
5th row['Drama', 'Anime', 'Fantasy', 'Romance']

Common Values

ValueCountFrequency (%)
[]8
12.3%
['Action', 'Children', 'Family']8
12.3%
['Action', 'Adventure', 'Fantasy']7
10.8%
['Adventure', 'Children']7
10.8%
['Drama', 'Crime', 'Thriller']4
 
6.2%
['Comedy']4
 
6.2%
['Drama', 'Romance']4
 
6.2%
['Drama', 'Romance', 'History']4
 
6.2%
['Drama', 'Horror', 'Thriller']2
 
3.1%
['Food']2
 
3.1%
Other values (13)15
23.1%

Length

2022-05-09T21:21:53.479980image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
drama21
14.2%
action18
12.2%
adventure18
12.2%
children16
10.8%
romance11
7.4%
fantasy10
6.8%
comedy9
 
6.1%
8
 
5.4%
family8
 
5.4%
thriller6
 
4.1%
Other values (9)23
15.5%

Most occurring characters

ValueCountFrequency (%)
'280
18.7%
r90
 
6.0%
e87
 
5.8%
a83
 
5.5%
83
 
5.5%
,83
 
5.5%
n75
 
5.0%
]65
 
4.3%
[65
 
4.3%
i62
 
4.1%
Other values (22)528
35.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter785
52.3%
Other Punctuation363
24.2%
Uppercase Letter140
 
9.3%
Space Separator83
 
5.5%
Close Punctuation65
 
4.3%
Open Punctuation65
 
4.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r90
11.5%
e87
11.1%
a83
10.6%
n75
9.6%
i62
7.9%
m57
7.3%
o56
 
7.1%
t52
 
6.6%
d46
 
5.9%
l37
 
4.7%
Other values (7)140
17.8%
Uppercase Letter
ValueCountFrequency (%)
A38
27.1%
C31
22.1%
F21
15.0%
D21
15.0%
R11
 
7.9%
H8
 
5.7%
T7
 
5.0%
S1
 
0.7%
M1
 
0.7%
W1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
'280
77.1%
,83
 
22.9%
Space Separator
ValueCountFrequency (%)
83
100.0%
Close Punctuation
ValueCountFrequency (%)
]65
100.0%
Open Punctuation
ValueCountFrequency (%)
[65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin925
61.6%
Common576
38.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
r90
 
9.7%
e87
 
9.4%
a83
 
9.0%
n75
 
8.1%
i62
 
6.7%
m57
 
6.2%
o56
 
6.1%
t52
 
5.6%
d46
 
5.0%
A38
 
4.1%
Other values (17)279
30.2%
Common
ValueCountFrequency (%)
'280
48.6%
83
 
14.4%
,83
 
14.4%
]65
 
11.3%
[65
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1501
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
'280
18.7%
r90
 
6.0%
e87
 
5.8%
a83
 
5.5%
83
 
5.5%
,83
 
5.5%
n75
 
5.0%
]65
 
4.3%
[65
 
4.3%
i62
 
4.1%
Other values (22)528
35.2%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size648.0 B
Ended
30 
Running
25 
To Be Determined
10 

Length

Max length16
Median length7
Mean length7.461538462
Min length5

Characters and Unicode

Total characters485
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRunning
2nd rowRunning
3rd rowRunning
4th rowRunning
5th rowRunning

Common Values

ValueCountFrequency (%)
Ended30
46.2%
Running25
38.5%
To Be Determined10
 
15.4%

Length

2022-05-09T21:21:53.558434image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:21:53.652579image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
ended30
35.3%
running25
29.4%
to10
 
11.8%
be10
 
11.8%
determined10
 
11.8%

Most occurring characters

ValueCountFrequency (%)
n115
23.7%
d70
14.4%
e70
14.4%
i35
 
7.2%
E30
 
6.2%
R25
 
5.2%
u25
 
5.2%
g25
 
5.2%
20
 
4.1%
T10
 
2.1%
Other values (6)60
12.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter380
78.4%
Uppercase Letter85
 
17.5%
Space Separator20
 
4.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n115
30.3%
d70
18.4%
e70
18.4%
i35
 
9.2%
u25
 
6.6%
g25
 
6.6%
o10
 
2.6%
t10
 
2.6%
r10
 
2.6%
m10
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
E30
35.3%
R25
29.4%
T10
 
11.8%
B10
 
11.8%
D10
 
11.8%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin465
95.9%
Common20
 
4.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
n115
24.7%
d70
15.1%
e70
15.1%
i35
 
7.5%
E30
 
6.5%
R25
 
5.4%
u25
 
5.4%
g25
 
5.4%
T10
 
2.2%
o10
 
2.2%
Other values (5)50
10.8%
Common
ValueCountFrequency (%)
20
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII485
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n115
23.7%
d70
14.4%
e70
14.4%
i35
 
7.2%
E30
 
6.2%
R25
 
5.2%
u25
 
5.2%
g25
 
5.2%
20
 
4.1%
T10
 
2.1%
Other values (6)60
12.4%

_embedded_show_runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct12
Distinct (%)25.5%
Missing18
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean32.80851064
Minimum4
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size648.0 B
2022-05-09T21:21:53.730705image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8
Q117.5
median25
Q345
95-th percentile60
Maximum120
Range116
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation24.61498156
Coefficient of variation (CV)0.7502620839
Kurtosis5.045897785
Mean32.80851064
Median Absolute Deviation (MAD)17
Skewness1.849607953
Sum1542
Variance605.8973173
MonotonicityNot monotonic
2022-05-09T21:21:53.808830image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4513
20.0%
87
 
10.8%
247
 
10.8%
254
 
6.2%
303
 
4.6%
603
 
4.6%
202
 
3.1%
1202
 
3.1%
42
 
3.1%
102
 
3.1%
Other values (2)2
 
3.1%
(Missing)18
27.7%
ValueCountFrequency (%)
42
 
3.1%
87
10.8%
102
 
3.1%
151
 
1.5%
202
 
3.1%
247
10.8%
254
 
6.2%
303
 
4.6%
401
 
1.5%
4513
20.0%
ValueCountFrequency (%)
1202
 
3.1%
603
 
4.6%
4513
20.0%
401
 
1.5%
303
 
4.6%
254
 
6.2%
247
10.8%
202
 
3.1%
151
 
1.5%
102
 
3.1%

_embedded_show_averageRuntime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct19
Distinct (%)31.1%
Missing4
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean31.32786885
Minimum4
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size648.0 B
2022-05-09T21:21:53.904440image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8
Q120
median24
Q345
95-th percentile60
Maximum120
Range116
Interquartile range (IQR)25

Descriptive statistics

Standard deviation22.23864603
Coefficient of variation (CV)0.7098678219
Kurtosis6.645442464
Mean31.32786885
Median Absolute Deviation (MAD)15
Skewness2.079244092
Sum1911
Variance494.557377
MonotonicityNot monotonic
2022-05-09T21:21:53.990086image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2415
23.1%
4512
18.5%
87
10.8%
304
 
6.2%
254
 
6.2%
172
 
3.1%
42
 
3.1%
1202
 
3.1%
512
 
3.1%
602
 
3.1%
Other values (9)9
13.8%
(Missing)4
 
6.2%
ValueCountFrequency (%)
42
 
3.1%
87
10.8%
91
 
1.5%
101
 
1.5%
111
 
1.5%
151
 
1.5%
172
 
3.1%
201
 
1.5%
2415
23.1%
254
 
6.2%
ValueCountFrequency (%)
1202
 
3.1%
602
 
3.1%
561
 
1.5%
512
 
3.1%
4512
18.5%
431
 
1.5%
401
 
1.5%
304
 
6.2%
271
 
1.5%
254
 
6.2%

_embedded_show_premiered
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct33
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Memory size648.0 B
2019-12-26
2020-11-21
2020-01-04
2020-12-26
2020-12-21
 
3
Other values (28)
34 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters650
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)33.8%

Sample

1st row2020-03-26
2nd row2020-05-22
3rd row2018-01-13
4th row2013-01-30
5th row2020-10-31

Common Values

ValueCountFrequency (%)
2019-12-268
 
12.3%
2020-11-217
 
10.8%
2020-01-047
 
10.8%
2020-12-266
 
9.2%
2020-12-213
 
4.6%
2020-12-162
 
3.1%
2020-11-192
 
3.1%
2020-12-242
 
3.1%
2020-12-102
 
3.1%
2020-12-052
 
3.1%
Other values (23)24
36.9%

Length

2022-05-09T21:21:54.199979image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2019-12-268
 
12.3%
2020-01-047
 
10.8%
2020-11-217
 
10.8%
2020-12-266
 
9.2%
2020-12-213
 
4.6%
2020-12-102
 
3.1%
2020-12-052
 
3.1%
2020-11-142
 
3.1%
2020-12-242
 
3.1%
2020-11-192
 
3.1%
Other values (23)24
36.9%

Most occurring characters

ValueCountFrequency (%)
2180
27.7%
0151
23.2%
-130
20.0%
1117
18.0%
620
 
3.1%
919
 
2.9%
415
 
2.3%
39
 
1.4%
53
 
0.5%
83
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number520
80.0%
Dash Punctuation130
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2180
34.6%
0151
29.0%
1117
22.5%
620
 
3.8%
919
 
3.7%
415
 
2.9%
39
 
1.7%
53
 
0.6%
83
 
0.6%
73
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
-130
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common650
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2180
27.7%
0151
23.2%
-130
20.0%
1117
18.0%
620
 
3.1%
919
 
2.9%
415
 
2.3%
39
 
1.4%
53
 
0.5%
83
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII650
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2180
27.7%
0151
23.2%
-130
20.0%
1117
18.0%
620
 
3.1%
919
 
2.9%
415
 
2.3%
39
 
1.4%
53
 
0.5%
83
 
0.5%

_embedded_show_ended
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct9
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size648.0 B
nan
35 
2020-12-26
2021-12-17
2021-01-02
 
3
2021-01-09
 
3
Other values (4)

Length

Max length10
Median length3
Mean length6.230769231
Min length3

Characters and Unicode

Total characters405
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan35
53.8%
2020-12-269
 
13.8%
2021-12-178
 
12.3%
2021-01-023
 
4.6%
2021-01-093
 
4.6%
2021-01-042
 
3.1%
2021-01-282
 
3.1%
2020-12-312
 
3.1%
2021-02-131
 
1.5%

Length

2022-05-09T21:21:54.300571image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:21:54.438778image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
nan35
53.8%
2020-12-269
 
13.8%
2021-12-178
 
12.3%
2021-01-023
 
4.6%
2021-01-093
 
4.6%
2021-01-042
 
3.1%
2021-01-282
 
3.1%
2020-12-312
 
3.1%
2021-02-131
 
1.5%

Most occurring characters

ValueCountFrequency (%)
294
23.2%
n70
17.3%
060
14.8%
-60
14.8%
159
14.6%
a35
 
8.6%
69
 
2.2%
78
 
2.0%
93
 
0.7%
33
 
0.7%
Other values (2)4
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number240
59.3%
Lowercase Letter105
25.9%
Dash Punctuation60
 
14.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
294
39.2%
060
25.0%
159
24.6%
69
 
3.8%
78
 
3.3%
93
 
1.2%
33
 
1.2%
42
 
0.8%
82
 
0.8%
Lowercase Letter
ValueCountFrequency (%)
n70
66.7%
a35
33.3%
Dash Punctuation
ValueCountFrequency (%)
-60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common300
74.1%
Latin105
 
25.9%

Most frequent character per script

Common
ValueCountFrequency (%)
294
31.3%
060
20.0%
-60
20.0%
159
19.7%
69
 
3.0%
78
 
2.7%
93
 
1.0%
33
 
1.0%
42
 
0.7%
82
 
0.7%
Latin
ValueCountFrequency (%)
n70
66.7%
a35
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII405
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
294
23.2%
n70
17.3%
060
14.8%
-60
14.8%
159
14.6%
a35
 
8.6%
69
 
2.2%
78
 
2.0%
93
 
0.7%
33
 
0.7%
Other values (2)4
 
1.0%

_embedded_show_officialSite
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct31
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Memory size648.0 B
nan
12 
https://www.netflix.com/title/80225085
https://www.crunchyroll.com/onyx-equinox
https://www.netflix.com/title/80237347
https://www.netflix.com/title/81329144
 
2
Other values (26)
29 

Length

Max length102
Median length78
Mean length38.24615385
Min length3

Characters and Unicode

Total characters2486
Distinct characters71
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)35.4%

Sample

1st rowhttps://hd.kinopoisk.ru/film/4cdfa8166bdf70b29ee3d4e1379e7a7c
2nd rowhttps://premier.one/show/12420
3rd rowhttps://v.qq.com/detail/m/m441e3rjq9kwpsc.html
4th rowhttps://www.ddtpro.com/
5th rowhttps://www.bilibili.com/tgcf

Common Values

ValueCountFrequency (%)
nan12
18.5%
https://www.netflix.com/title/802250858
 
12.3%
https://www.crunchyroll.com/onyx-equinox7
 
10.8%
https://www.netflix.com/title/802373477
 
10.8%
https://www.netflix.com/title/813291442
 
3.1%
https://www.iqiyi.com/a_19rrhllpip.html2
 
3.1%
https://www.iqiyi.com/a_nvzsmw0tgx.html2
 
3.1%
https://www.iqiyi.com/lib/m_213579814.html2
 
3.1%
https://www.youtube.com/channel/UCPDXXXJj9nax0fr0Wfc048g1
 
1.5%
https://tv.nrk.no/serie/familiekokkene1
 
1.5%
Other values (21)21
32.3%

Length

2022-05-09T21:21:54.562144image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nan12
18.5%
https://www.netflix.com/title/802250858
 
12.3%
https://www.crunchyroll.com/onyx-equinox7
 
10.8%
https://www.netflix.com/title/802373477
 
10.8%
https://www.netflix.com/title/813291442
 
3.1%
https://www.iqiyi.com/a_19rrhllpip.html2
 
3.1%
https://www.iqiyi.com/a_nvzsmw0tgx.html2
 
3.1%
https://www.iqiyi.com/lib/m_213579814.html2
 
3.1%
https://www.youtube.com/user/scishow1
 
1.5%
https://www.youtube.com/c/worldwartwo/playlists?view=50&sort=dd&shelf_id=51
 
1.5%
Other values (21)21
32.3%

Most occurring characters

ValueCountFrequency (%)
t209
 
8.4%
/206
 
8.3%
w149
 
6.0%
.112
 
4.5%
i109
 
4.4%
e105
 
4.2%
o103
 
4.1%
s100
 
4.0%
l96
 
3.9%
n96
 
3.9%
Other values (61)1201
48.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1678
67.5%
Other Punctuation386
 
15.5%
Decimal Number278
 
11.2%
Uppercase Letter98
 
3.9%
Dash Punctuation28
 
1.1%
Math Symbol9
 
0.4%
Connector Punctuation9
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t209
 
12.5%
w149
 
8.9%
i109
 
6.5%
e105
 
6.3%
o103
 
6.1%
s100
 
6.0%
l96
 
5.7%
n96
 
5.7%
h92
 
5.5%
c81
 
4.8%
Other values (16)538
32.1%
Uppercase Letter
ValueCountFrequency (%)
P8
 
8.2%
L6
 
6.1%
C6
 
6.1%
D5
 
5.1%
Q5
 
5.1%
A5
 
5.1%
Y5
 
5.1%
T5
 
5.1%
K5
 
5.1%
W5
 
5.1%
Other values (16)43
43.9%
Decimal Number
ValueCountFrequency (%)
042
15.1%
241
14.7%
837
13.3%
429
10.4%
529
10.4%
329
10.4%
724
8.6%
122
7.9%
914
 
5.0%
611
 
4.0%
Other Punctuation
ValueCountFrequency (%)
/206
53.4%
.112
29.0%
:53
 
13.7%
?6
 
1.6%
%6
 
1.6%
&3
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
-28
100.0%
Math Symbol
ValueCountFrequency (%)
=9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1776
71.4%
Common710
 
28.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t209
 
11.8%
w149
 
8.4%
i109
 
6.1%
e105
 
5.9%
o103
 
5.8%
s100
 
5.6%
l96
 
5.4%
n96
 
5.4%
h92
 
5.2%
c81
 
4.6%
Other values (42)636
35.8%
Common
ValueCountFrequency (%)
/206
29.0%
.112
15.8%
:53
 
7.5%
042
 
5.9%
241
 
5.8%
837
 
5.2%
429
 
4.1%
529
 
4.1%
329
 
4.1%
-28
 
3.9%
Other values (9)104
14.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII2486
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t209
 
8.4%
/206
 
8.3%
w149
 
6.0%
.112
 
4.5%
i109
 
4.4%
e105
 
4.2%
o103
 
4.1%
s100
 
4.0%
l96
 
3.9%
n96
 
3.9%
Other values (61)1201
48.3%

_embedded_show_weight
Real number (ℝ≥0)

HIGH CORRELATION

Distinct30
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.67692308
Minimum1
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size648.0 B
2022-05-09T21:21:54.672187image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.6
Q116
median39
Q356
95-th percentile92
Maximum92
Range91
Interquartile range (IQR)40

Descriptive statistics

Standard deviation29.0032906
Coefficient of variation (CV)0.7130158429
Kurtosis-0.9529293399
Mean40.67692308
Median Absolute Deviation (MAD)21
Skewness0.5046433497
Sum2644
Variance841.1908654
MonotonicityNot monotonic
2022-05-09T21:21:54.766429image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
928
 
12.3%
467
 
10.8%
97
 
10.8%
187
 
10.8%
544
 
6.2%
192
 
3.1%
32
 
3.1%
102
 
3.1%
352
 
3.1%
672
 
3.1%
Other values (20)22
33.8%
ValueCountFrequency (%)
11
 
1.5%
32
 
3.1%
61
 
1.5%
97
10.8%
102
 
3.1%
131
 
1.5%
141
 
1.5%
151
 
1.5%
161
 
1.5%
187
10.8%
ValueCountFrequency (%)
928
12.3%
891
 
1.5%
851
 
1.5%
791
 
1.5%
711
 
1.5%
672
 
3.1%
611
 
1.5%
601
 
1.5%
562
 
3.1%
544
6.2%

_embedded_show_dvdCountry
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size648.0 B
nan
65 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters195
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan65
100.0%

Length

2022-05-09T21:21:54.867095image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:21:54.960876image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
nan65
100.0%

Most occurring characters

ValueCountFrequency (%)
n130
66.7%
a65
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter195
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n130
66.7%
a65
33.3%

Most occurring scripts

ValueCountFrequency (%)
Latin195
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
n130
66.7%
a65
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII195
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n130
66.7%
a65
33.3%

_embedded_show_summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct36
Distinct (%)55.4%
Missing0
Missing (%)0.0%
Memory size648.0 B
<p>The series expands the high-octane action of the films as teenager Tony Toretto follows in the footsteps of his cousin Dom when he and his friends are recruited by a government agency to infiltrate an elite racing league serving as a front for a nefarious crime organization bent on world domination.</p>
<p>A young Aztec boy is saved from death by the gods and chosen to act as ‘humanity's champion,' forced to discard his apathy toward his fellow man and prove humanity's potential in a fight that spans across fantastical-yet-authentic Mesoamerican cultures.</p>
<p>Based on the hit toy line Go! Go! Smart Wheels from VTech Electronics, <b>Go! Go! Cory Carson</b> follows the adventures of kid car Cory Carson as he navigates the winding roads of childhood in Bumperton Hills.</p>
<p>Ke Ying is a talented economics lecturer who is forced to help psychopath Feng Xiao Sheng gain real power within his corporation. The street smart Xiao Wu is a police informant, and when he discovers Fu's company is laundering money with foreign bank accounts, he uses his position as Feng Xiao Sheng's right-hand man to collect evidence. He befriends Ke Ying, and the two work together to destroy the criminal organization.</p>
<p>Curious about his uncle's past, Wu Xie watched a mysterious videotape, only to find himself mixed up in an elaborate conspiracy. In his adventures, he encountered Zhang Qi Ling, Xie Yu Chen, and others. </p>
 
2
Other values (31)
37 

Length

Max length1261
Median length614
Mean length351.5230769
Min length3

Characters and Unicode

Total characters22849
Distinct characters90
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)38.5%

Sample

1st rownan
2nd row<p>The non-fiction series "Maniacs" tells about the most high-profile Russian crimes, in which still not all the circumstances are clear to the end</p>
3rd row<p>Tang San spent his life in the Tang Outer Sect, dedicated to the creation and mastery of hidden weapons. Once he stole the secret lore of the Inner Sect to reach the pinnacle of his art, his only way out was death. But after throwing himself off the deadly Hell's Peak he was reborn in a different world, the world of Douluo Dalu, a world where every person has a spirit of their own, and those with powerful spirits can practice their spirit power to rise and become Spirit Masters.<br /><br />The spirit that awakens within Tang San is Blue Silver Grass, a useless spirit. Can he overcome the difficulties to reach the high ranks of Spirit Masters and bring the glory of the Tang Sect into this new world?</p>
4th rownan
5th row<p>"Have you heard? The rubbish Heaven Official is having an affair with the ghost realm's number one bigshot!"</p><p>Eight hundred years ago, Xie Lian was the Crown Prince of the Xian Le kingdom; one who was beloved by his citizens and the darling of the world. Unsurprisingly, he ascended to the Heavens at a very young age. Now, eight hundred years later, Xie Lian ascends to the Heavens for the third time as the laughing stock of all three realms. On his first task as a god, he meets a mysterious demon who rules the ghosts and terrifies the Heavens... yet unbeknownst to Xie Lian, this demon king has been paying attention to him for a very, very long time.</p>

Common Values

ValueCountFrequency (%)
<p>The series expands the high-octane action of the films as teenager Tony Toretto follows in the footsteps of his cousin Dom when he and his friends are recruited by a government agency to infiltrate an elite racing league serving as a front for a nefarious crime organization bent on world domination.</p>8
 
12.3%
<p>A young Aztec boy is saved from death by the gods and chosen to act as ‘humanity's champion,' forced to discard his apathy toward his fellow man and prove humanity's potential in a fight that spans across fantastical-yet-authentic Mesoamerican cultures.</p>7
 
10.8%
<p>Based on the hit toy line Go! Go! Smart Wheels from VTech Electronics, <b>Go! Go! Cory Carson</b> follows the adventures of kid car Cory Carson as he navigates the winding roads of childhood in Bumperton Hills.</p>7
 
10.8%
<p>Ke Ying is a talented economics lecturer who is forced to help psychopath Feng Xiao Sheng gain real power within his corporation. The street smart Xiao Wu is a police informant, and when he discovers Fu's company is laundering money with foreign bank accounts, he uses his position as Feng Xiao Sheng's right-hand man to collect evidence. He befriends Ke Ying, and the two work together to destroy the criminal organization.</p>4
 
6.2%
<p>Curious about his uncle's past, Wu Xie watched a mysterious videotape, only to find himself mixed up in an elaborate conspiracy. In his adventures, he encountered Zhang Qi Ling, Xie Yu Chen, and others. </p>2
 
3.1%
<p>A story that follows undercover cop Gan Tian Lei who spent 10 years of his life walking a gray area. After waking up from a serious injury, he restarts his life and tries to solve a case by relying on his lost memories.</p>2
 
3.1%
nan2
 
3.1%
<p><b>Detention</b> starts at Greenwood High School in the 1990s. Yunxiang Liu, a transfer student, steps into the forbidden area on the campus by accident, where she encounters the ghost of Ruixin Fang. Fang later unveils the hidden history and trauma over the past 30 years, and how a group of young students and teachers were persecuted as they fought for freedom in the era of censorship. Their stories keep coming back to the school like haunting nightmares, waiting to be told and revealed.  </p>2
 
3.1%
<p>The disciples of the Lingchuan Sect have guarded the Fans of Heaven and Earth for nearly a century. Mu Yun and Hua Yue are the only disciples of the sect that are left. The stubborn and disobedient Hua Yue unintentionally discovers that the Fan of Heaven possesses the power to travel through time. To escape being forced to study and practice martial arts by Mu Yun, Hua Yue travels to the future to have fun. Hundreds of years in the future she meets Xiao Qian who looks exactly like her. Secrets come to the surface, and adventures take place.</p>2
 
3.1%
<p>As a flower girl, Su Xiao Wan never really imagined her simple life would ever be anything other than ordinary. But when an accidental mixup lands her in a sibling contract with Gu Yan Xi, the young master of the well-known Gu family, her simple life is flipped upside down. Now obligated to play the part of Gu Yan Xi's younger sister, Xiao Wan finds herself tangled in the affairs of one of the most prominent business families in the land. Constantly hounded by Yang Xi's sharp tongue and ceaseless schemes, Xiao Wan is forced to rely on her quick wit and sly tricks, in order to survive. Never allowed a moment's peace, Xiao Wan can only find respite while in the company of Gu Zi Qian, the family's second master. A warm and caring young man, Zi Qian takes it upon himself to look after Xiao Wan, shielding her, whenever possible, from the constant pestering of his older brother. Unfortunately for Xiao Wan, Zi Qian's kindness is fueled by his own secret ambitions. Soon trapped in a complicated relationship with both Yang Xi and Zi Qian, Xiao Wan struggles to find a way out. As her head tells her to go one way, her heart tells her to go another; leaving Xiao Wan to wonder, which brother will ultimately help her find the happiness she desires?</p>2
 
3.1%
Other values (26)27
41.5%

Length

2022-05-09T21:21:55.056363image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the216
 
5.7%
and130
 
3.4%
to109
 
2.9%
a99
 
2.6%
of96
 
2.5%
in64
 
1.7%
his58
 
1.5%
as53
 
1.4%
is50
 
1.3%
he50
 
1.3%
Other values (1035)2882
75.7%

Most occurring characters

ValueCountFrequency (%)
3735
16.3%
e2018
 
8.8%
a1465
 
6.4%
o1394
 
6.1%
t1389
 
6.1%
n1373
 
6.0%
i1326
 
5.8%
s1213
 
5.3%
r1055
 
4.6%
h931
 
4.1%
Other values (80)6950
30.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter17284
75.6%
Space Separator3744
 
16.4%
Uppercase Letter778
 
3.4%
Other Punctuation554
 
2.4%
Math Symbol378
 
1.7%
Dash Punctuation54
 
0.2%
Decimal Number26
 
0.1%
Other Letter8
 
< 0.1%
Initial Punctuation7
 
< 0.1%
Open Punctuation7
 
< 0.1%
Other values (3)9
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e2018
11.7%
a1465
 
8.5%
o1394
 
8.1%
t1389
 
8.0%
n1373
 
7.9%
i1326
 
7.7%
s1213
 
7.0%
r1055
 
6.1%
h931
 
5.4%
d634
 
3.7%
Other values (17)4486
26.0%
Uppercase Letter
ValueCountFrequency (%)
T92
 
11.8%
S67
 
8.6%
W53
 
6.8%
G49
 
6.3%
X49
 
6.3%
C43
 
5.5%
H40
 
5.1%
A39
 
5.0%
Y33
 
4.2%
M31
 
4.0%
Other values (16)282
36.2%
Other Punctuation
ValueCountFrequency (%)
,182
32.9%
.144
26.0%
/96
17.3%
'66
 
11.9%
!40
 
7.2%
"14
 
2.5%
;4
 
0.7%
?4
 
0.7%
:3
 
0.5%
&1
 
0.2%
Other Letter
ValueCountFrequency (%)
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
Decimal Number
ValueCountFrequency (%)
09
34.6%
16
23.1%
95
19.2%
23
 
11.5%
32
 
7.7%
41
 
3.8%
Space Separator
ValueCountFrequency (%)
3735
99.8%
 9
 
0.2%
Math Symbol
ValueCountFrequency (%)
<189
50.0%
>189
50.0%
Dash Punctuation
ValueCountFrequency (%)
-47
87.0%
7
 
13.0%
Open Punctuation
ValueCountFrequency (%)
(6
85.7%
[1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
)6
85.7%
]1
 
14.3%
Initial Punctuation
ValueCountFrequency (%)
7
100.0%
Modifier Letter
ValueCountFrequency (%)
1
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin18062
79.0%
Common4779
 
20.9%
Han4
 
< 0.1%
Katakana4
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e2018
 
11.2%
a1465
 
8.1%
o1394
 
7.7%
t1389
 
7.7%
n1373
 
7.6%
i1326
 
7.3%
s1213
 
6.7%
r1055
 
5.8%
h931
 
5.2%
d634
 
3.5%
Other values (43)5264
29.1%
Common
ValueCountFrequency (%)
3735
78.2%
<189
 
4.0%
>189
 
4.0%
,182
 
3.8%
.144
 
3.0%
/96
 
2.0%
'66
 
1.4%
-47
 
1.0%
!40
 
0.8%
"14
 
0.3%
Other values (19)77
 
1.6%
Han
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Katakana
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII22815
99.9%
Punctuation14
 
0.1%
None10
 
< 0.1%
Katakana5
 
< 0.1%
CJK4
 
< 0.1%
Dingbats1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3735
16.4%
e2018
 
8.8%
a1465
 
6.4%
o1394
 
6.1%
t1389
 
6.1%
n1373
 
6.0%
i1326
 
5.8%
s1213
 
5.3%
r1055
 
4.6%
h931
 
4.1%
Other values (66)6916
30.3%
None
ValueCountFrequency (%)
 9
90.0%
ā1
 
10.0%
Punctuation
ValueCountFrequency (%)
7
50.0%
7
50.0%
CJK
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Katakana
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Dingbats
ValueCountFrequency (%)
1
100.0%

_embedded_show_updated
Real number (ℝ≥0)

HIGH CORRELATION

Distinct37
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1632066911
Minimum1607887175
Maximum1652080636
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size648.0 B
2022-05-09T21:21:55.167063image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1607887175
5-th percentile1609359827
Q11619513311
median1639827827
Q31644762005
95-th percentile1651315382
Maximum1652080636
Range44193461
Interquartile range (IQR)25248694

Descriptive statistics

Standard deviation15368934.4
Coefficient of variation (CV)0.009416853129
Kurtosis-1.457803787
Mean1632066911
Median Absolute Deviation (MAD)11398786
Skewness-0.3103439238
Sum1.060843492 × 1011
Variance2.362041446 × 1014
MonotonicityNot monotonic
2022-05-09T21:21:55.271533image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
16398278278
 
12.3%
16093598277
 
10.8%
16195133117
 
10.8%
16243853324
 
6.2%
16434524232
 
3.1%
16499562022
 
3.1%
16491780842
 
3.1%
16098872012
 
3.1%
16097998962
 
3.1%
16482170292
 
3.1%
Other values (27)27
41.5%
ValueCountFrequency (%)
16078871751
 
1.5%
16093598277
10.8%
16097998962
 
3.1%
16098872012
 
3.1%
16102165781
 
1.5%
16129809601
 
1.5%
16195133117
10.8%
16238295291
 
1.5%
16238296751
 
1.5%
16243853324
6.2%
ValueCountFrequency (%)
16520806361
1.5%
16520294141
1.5%
16517643421
1.5%
16514170271
1.5%
16509088001
1.5%
16500169181
1.5%
16499562022
3.1%
16491780842
3.1%
16483492401
1.5%
16482170292
3.1%

_links_self_href
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size648.0 B
https://api.tvmaze.com/episodes/1977902
 
1
https://api.tvmaze.com/episodes/2312225
 
1
https://api.tvmaze.com/episodes/2312227
 
1
https://api.tvmaze.com/episodes/2312228
 
1
https://api.tvmaze.com/episodes/2087588
 
1
Other values (60)
60 

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters2535
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/1977902
2nd rowhttps://api.tvmaze.com/episodes/2015818
3rd rowhttps://api.tvmaze.com/episodes/1964000
4th rowhttps://api.tvmaze.com/episodes/1995405
5th rowhttps://api.tvmaze.com/episodes/2007760

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19779021
 
1.5%
https://api.tvmaze.com/episodes/23122251
 
1.5%
https://api.tvmaze.com/episodes/23122271
 
1.5%
https://api.tvmaze.com/episodes/23122281
 
1.5%
https://api.tvmaze.com/episodes/20875881
 
1.5%
https://api.tvmaze.com/episodes/20060911
 
1.5%
https://api.tvmaze.com/episodes/19955071
 
1.5%
https://api.tvmaze.com/episodes/20083121
 
1.5%
https://api.tvmaze.com/episodes/20158371
 
1.5%
https://api.tvmaze.com/episodes/19968191
 
1.5%
Other values (55)55
84.6%

Length

2022-05-09T21:21:55.367092image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19779021
 
1.5%
https://api.tvmaze.com/episodes/20158181
 
1.5%
https://api.tvmaze.com/episodes/19640001
 
1.5%
https://api.tvmaze.com/episodes/19954051
 
1.5%
https://api.tvmaze.com/episodes/20077601
 
1.5%
https://api.tvmaze.com/episodes/19857891
 
1.5%
https://api.tvmaze.com/episodes/20396221
 
1.5%
https://api.tvmaze.com/episodes/20396231
 
1.5%
https://api.tvmaze.com/episodes/23244271
 
1.5%
https://api.tvmaze.com/episodes/23244281
 
1.5%
Other values (55)55
84.6%

Most occurring characters

ValueCountFrequency (%)
/260
 
10.3%
p195
 
7.7%
s195
 
7.7%
e195
 
7.7%
t195
 
7.7%
o130
 
5.1%
a130
 
5.1%
i130
 
5.1%
.130
 
5.1%
m130
 
5.1%
Other values (16)845
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1625
64.1%
Other Punctuation455
 
17.9%
Decimal Number455
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p195
12.0%
s195
12.0%
e195
12.0%
t195
12.0%
o130
8.0%
a130
8.0%
i130
8.0%
m130
8.0%
h65
 
4.0%
d65
 
4.0%
Other values (3)195
12.0%
Decimal Number
ValueCountFrequency (%)
283
18.2%
973
16.0%
157
12.5%
046
10.1%
839
8.6%
335
7.7%
734
7.5%
633
 
7.3%
429
 
6.4%
526
 
5.7%
Other Punctuation
ValueCountFrequency (%)
/260
57.1%
.130
28.6%
:65
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin1625
64.1%
Common910
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/260
28.6%
.130
14.3%
283
 
9.1%
973
 
8.0%
:65
 
7.1%
157
 
6.3%
046
 
5.1%
839
 
4.3%
335
 
3.8%
734
 
3.7%
Other values (3)88
 
9.7%
Latin
ValueCountFrequency (%)
p195
12.0%
s195
12.0%
e195
12.0%
t195
12.0%
o130
8.0%
a130
8.0%
i130
8.0%
m130
8.0%
h65
 
4.0%
d65
 
4.0%
Other values (3)195
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2535
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/260
 
10.3%
p195
 
7.7%
s195
 
7.7%
e195
 
7.7%
t195
 
7.7%
o130
 
5.1%
a130
 
5.1%
i130
 
5.1%
.130
 
5.1%
m130
 
5.1%
Other values (16)845
33.3%

Interactions

2022-05-09T21:21:47.987423image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:33.814496image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:37.300326image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:38.733465image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:40.325546image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:41.775014image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:43.816863image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:45.037871image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:46.561409image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:48.611131image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:34.852145image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:37.897665image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:39.304704image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:40.906291image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:42.417161image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:44.025437image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:45.593859image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:47.130794image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:48.710433image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:35.157092image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:38.000727image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:39.405387image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:41.006421image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:42.599669image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:44.125032image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:45.693598image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:47.242461image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:48.796465image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:35.462437image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:38.099342image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:39.497888image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:41.102524image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:42.753954image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:44.213850image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:45.794532image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:47.342377image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:48.905332image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:35.762088image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:38.189655image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:39.587379image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:41.195508image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:42.897935image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:44.300668image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:45.891387image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:47.428872image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:49.076445image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:36.156692image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:38.351611image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:39.753838image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:41.376357image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:43.117868image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:44.443809image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:46.082334image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:47.606950image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:49.170689image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:36.337060image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:38.453663image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:39.849497image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:41.480773image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:43.345087image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:44.611477image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:46.181112image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:47.705505image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:49.262581image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:36.623680image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:38.549200image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:39.945312image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:41.577820image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:43.490522image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:44.811579image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:46.379046image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:47.800712image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:49.349104image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:37.010950image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:38.636328image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:40.208343image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:41.676184image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:43.642150image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:44.932864image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:46.466187image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:21:47.891355image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Correlations

2022-05-09T21:21:55.445499image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-05-09T21:21:55.598621image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-05-09T21:21:55.733014image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-05-09T21:21:55.874378image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.
2022-05-09T21:21:56.236306image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-05-09T21:21:49.662370image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
A simple visualization of nullity by column.
2022-05-09T21:21:50.320799image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-05-09T21:21:50.515268image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2022-05-09T21:21:50.635152image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

idurlnameseasonnumbertypeairdateairtimeairstampruntimesummary_embedded_show_id_embedded_show_url_embedded_show_name_embedded_show_type_embedded_show_language_embedded_show_genres_embedded_show_status_embedded_show_runtime_embedded_show_averageRuntime_embedded_show_premiered_embedded_show_ended_embedded_show_officialSite_embedded_show_weight_embedded_show_dvdCountry_embedded_show_summary_embedded_show_updated_links_self_href
01989493https://www.tvmaze.com/episodes/1989493/poslednij-ministr-s01-special-korotkij-denКороткий день1.0NaNsignificant_special2020-12-26nan2020-12-26T00:00:00+00:0043.0nan46689https://www.tvmaze.com/shows/46689/poslednij-ministrПоследний министрScriptedRussian['Comedy']Running25.025.02020-03-26nanhttps://hd.kinopoisk.ru/film/4cdfa8166bdf70b29ee3d4e1379e7a7c35.0nannan1.647102e+09https://api.tvmaze.com/episodes/1977902
12269801https://www.tvmaze.com/episodes/2269801/manaki-1x08-naloznicy-podzemela-delo-manaka-mohovaНаложницы подземелья. Дело маньяка Мохова1.08.0regular2020-12-26nan2020-12-26T00:00:00+00:0040.0nan48597https://www.tvmaze.com/shows/48597/manakiМаньякиDocumentaryRussian[]Running40.040.02020-05-22nanhttps://premier.one/show/1242015.0nan<p>The non-fiction series "Maniacs" tells about the most high-profile Russian crimes, in which still not all the circumstances are clear to the end</p>1.643899e+09https://api.tvmaze.com/episodes/2015818
21993456https://www.tvmaze.com/episodes/1993456/soul-land-7x06-di136ji第136集7.06.0regular2020-12-2610:002020-12-26T02:00:00+00:0020.0nan35551https://www.tvmaze.com/shows/35551/soul-landSoul LandAnimationChinese['Action', 'Adventure', 'Anime', 'Fantasy']Running20.020.02018-01-13nanhttps://v.qq.com/detail/m/m441e3rjq9kwpsc.html89.0nan<p>Tang San spent his life in the Tang Outer Sect, dedicated to the creation and mastery of hidden weapons. Once he stole the secret lore of the Inner Sect to reach the pinnacle of his art, his only way out was death. But after throwing himself off the deadly Hell's Peak he was reborn in a different world, the world of Douluo Dalu, a world where every person has a spirit of their own, and those with powerful spirits can practice their spirit power to rise and become Spirit Masters.<br /><br />The spirit that awakens within Tang San is Blue Silver Grass, a useless spirit. Can he overcome the difficulties to reach the high ranks of Spirit Masters and bring the glory of the Tang Sect into this new world?</p>1.643317e+09https://api.tvmaze.com/episodes/1964000
32138927https://www.tvmaze.com/episodes/2138927/tokyo-joshi-pro-wrestling-2020-12-26-tjpw-2020-final-round-i-hope-there-are-lots-of-fun-and-happy-things-to-do-next-yearTJPW 2020 Final Round ~ I Hope There Are Lots Of Fun And Happy Things To Do Next Year ~2020.045.0regular2020-12-2612:002020-12-26T03:00:00+00:00120.0nan49740https://www.tvmaze.com/shows/49740/tokyo-joshi-pro-wrestlingTokyo Joshi Pro WrestlingSportsJapanese[]Running120.0120.02013-01-30nanhttps://www.ddtpro.com/13.0nannan1.651764e+09https://api.tvmaze.com/episodes/1995405
41962059https://www.tvmaze.com/episodes/1962059/heaven-officials-blessing-1x10-bygone-banyue-daysBygone Banyue Days1.010.0regular2020-12-2611:002020-12-26T03:00:00+00:0025.0nan51670https://www.tvmaze.com/shows/51670/heaven-officials-blessingHeaven Official's BlessingAnimationChinese['Drama', 'Anime', 'Fantasy', 'Romance']Running25.025.02020-10-31nanhttps://www.bilibili.com/tgcf52.0nan<p>"Have you heard? The rubbish Heaven Official is having an affair with the ghost realm's number one bigshot!"</p><p>Eight hundred years ago, Xie Lian was the Crown Prince of the Xian Le kingdom; one who was beloved by his citizens and the darling of the world. Unsurprisingly, he ascended to the Heavens at a very young age. Now, eight hundred years later, Xie Lian ascends to the Heavens for the third time as the laughing stock of all three realms. On his first task as a god, he meets a mysterious demon who rules the ghosts and terrifies the Heavens... yet unbeknownst to Xie Lian, this demon king has been paying attention to him for a very, very long time.</p>1.637712e+09https://api.tvmaze.com/episodes/2007760
51972577https://www.tvmaze.com/episodes/1972577/the-wolf-1x35-episode-35Episode 351.035.0regular2020-12-26nan2020-12-26T04:00:00+00:0045.0nan47912https://www.tvmaze.com/shows/47912/the-wolfThe WolfScriptedChinese['Drama', 'Romance', 'History']Ended45.045.02020-11-192021-01-04https://www.iqiyi.com/lib/m_213579814.html39.0nan<p>The story happens at the end of the Tang Dynasty, when Zhu Wen usurps the throne and establishes the Later Liang Dynasty, and he's known as Emperor Taizu. Ma Zhai Xing (Li Qin) is the daughter of an official and as a child, she befriends a young boy (Darren Wang) who lives in the mountain. One day when he saves a wolf, he accidentally falls over the cliff and is rescued by Zhu Wen. The authoritative figure adopts him as a godson and gives him the title Bo Wang. Ten years later, he saves the female lead per chance and finds her courage and intelligence resonant, and she likes that while he's in a position of power, he still has humility and kindness. She encourages him to fight for justice and he begins that journey by helping the people, stopping throne fights, etc. Even when they have conflicts, they will face those frankly. As they overcome obstacles and fight for justice, feelings deepen and they are able to reap their own happiness by each other's side.</p>1.648217e+09https://api.tvmaze.com/episodes/1985789
61972578https://www.tvmaze.com/episodes/1972578/the-wolf-1x36-episode-36Episode 361.036.0regular2020-12-26nan2020-12-26T04:00:00+00:0045.0nan47912https://www.tvmaze.com/shows/47912/the-wolfThe WolfScriptedChinese['Drama', 'Romance', 'History']Ended45.045.02020-11-192021-01-04https://www.iqiyi.com/lib/m_213579814.html39.0nan<p>The story happens at the end of the Tang Dynasty, when Zhu Wen usurps the throne and establishes the Later Liang Dynasty, and he's known as Emperor Taizu. Ma Zhai Xing (Li Qin) is the daughter of an official and as a child, she befriends a young boy (Darren Wang) who lives in the mountain. One day when he saves a wolf, he accidentally falls over the cliff and is rescued by Zhu Wen. The authoritative figure adopts him as a godson and gives him the title Bo Wang. Ten years later, he saves the female lead per chance and finds her courage and intelligence resonant, and she likes that while he's in a position of power, he still has humility and kindness. She encourages him to fight for justice and he begins that journey by helping the people, stopping throne fights, etc. Even when they have conflicts, they will face those frankly. As they overcome obstacles and fight for justice, feelings deepen and they are able to reap their own happiness by each other's side.</p>1.648217e+09https://api.tvmaze.com/episodes/2039622
71994246https://www.tvmaze.com/episodes/1994246/a-love-so-romantic-1x05-episode-5Episode 51.05.0regular2020-12-26nan2020-12-26T04:00:00+00:0045.0nan52665https://www.tvmaze.com/shows/52665/a-love-so-romanticA Love So RomanticScriptedChinese['Drama', 'Romance']Ended45.045.02020-12-242021-01-28nan56.0nan<p>As a flower girl, Su Xiao Wan never really imagined her simple life would ever be anything other than ordinary. But when an accidental mixup lands her in a sibling contract with Gu Yan Xi, the young master of the well-known Gu family, her simple life is flipped upside down. Now obligated to play the part of Gu Yan Xi's younger sister, Xiao Wan finds herself tangled in the affairs of one of the most prominent business families in the land. Constantly hounded by Yang Xi's sharp tongue and ceaseless schemes, Xiao Wan is forced to rely on her quick wit and sly tricks, in order to survive. Never allowed a moment's peace, Xiao Wan can only find respite while in the company of Gu Zi Qian, the family's second master. A warm and caring young man, Zi Qian takes it upon himself to look after Xiao Wan, shielding her, whenever possible, from the constant pestering of his older brother. Unfortunately for Xiao Wan, Zi Qian's kindness is fueled by his own secret ambitions. Soon trapped in a complicated relationship with both Yang Xi and Zi Qian, Xiao Wan struggles to find a way out. As her head tells her to go one way, her heart tells her to go another; leaving Xiao Wan to wonder, which brother will ultimately help her find the happiness she desires?</p>1.643452e+09https://api.tvmaze.com/episodes/2039623
81994247https://www.tvmaze.com/episodes/1994247/a-love-so-romantic-1x06-episode-6Episode 61.06.0regular2020-12-26nan2020-12-26T04:00:00+00:0045.0nan52665https://www.tvmaze.com/shows/52665/a-love-so-romanticA Love So RomanticScriptedChinese['Drama', 'Romance']Ended45.045.02020-12-242021-01-28nan56.0nan<p>As a flower girl, Su Xiao Wan never really imagined her simple life would ever be anything other than ordinary. But when an accidental mixup lands her in a sibling contract with Gu Yan Xi, the young master of the well-known Gu family, her simple life is flipped upside down. Now obligated to play the part of Gu Yan Xi's younger sister, Xiao Wan finds herself tangled in the affairs of one of the most prominent business families in the land. Constantly hounded by Yang Xi's sharp tongue and ceaseless schemes, Xiao Wan is forced to rely on her quick wit and sly tricks, in order to survive. Never allowed a moment's peace, Xiao Wan can only find respite while in the company of Gu Zi Qian, the family's second master. A warm and caring young man, Zi Qian takes it upon himself to look after Xiao Wan, shielding her, whenever possible, from the constant pestering of his older brother. Unfortunately for Xiao Wan, Zi Qian's kindness is fueled by his own secret ambitions. Soon trapped in a complicated relationship with both Yang Xi and Zi Qian, Xiao Wan struggles to find a way out. As her head tells her to go one way, her heart tells her to go another; leaving Xiao Wan to wonder, which brother will ultimately help her find the happiness she desires?</p>1.643452e+09https://api.tvmaze.com/episodes/2324427
92005755https://www.tvmaze.com/episodes/2005755/legend-of-yun-qian-1x08-episode-8Episode 81.08.0regular2020-12-26nan2020-12-26T04:00:00+00:004.0nan52898https://www.tvmaze.com/shows/52898/legend-of-yun-qianLegend of Yun QianScriptedChinese['Drama', 'Romance', 'History']Ended4.04.02020-12-212020-12-31nan67.0nan<p>The disciples of the Lingchuan Sect have guarded the Fans of Heaven and Earth for nearly a century. Mu Yun and Hua Yue are the only disciples of the sect that are left. The stubborn and disobedient Hua Yue unintentionally discovers that the Fan of Heaven possesses the power to travel through time. To escape being forced to study and practice martial arts by Mu Yun, Hua Yue travels to the future to have fun. Hundreds of years in the future she meets Xiao Qian who looks exactly like her. Secrets come to the surface, and adventures take place.</p>1.649956e+09https://api.tvmaze.com/episodes/2324428

Last rows

idurlnameseasonnumbertypeairdateairtimeairstampruntimesummary_embedded_show_id_embedded_show_url_embedded_show_name_embedded_show_type_embedded_show_language_embedded_show_genres_embedded_show_status_embedded_show_runtime_embedded_show_averageRuntime_embedded_show_premiered_embedded_show_ended_embedded_show_officialSite_embedded_show_weight_embedded_show_dvdCountry_embedded_show_summary_embedded_show_updated_links_self_href
552113588https://www.tvmaze.com/episodes/2113588/lovely-bites-by-chef-lovely-1x07-a-little-birthday-loveA Little Birthday Love1.07.0regular2020-12-26nan2020-12-26T17:00:00+00:0025.0<p>Chef Lovely's friends are coming to celebrate her birthday, so she cooks her favorite foods -- an Oxtail Bourguignon with Mashed Potatoes, Pancetta Brussels Sprouts, Strawberry Champagne Cupcakes and a Birthday Martini.</p>53754https://www.tvmaze.com/shows/53754/lovely-bites-by-chef-lovelyLovely Bites by Chef LovelyRealityEnglish[]Running25.025.02020-11-14nanhttps://www.oprah.com/app/lovely-bites.html19.0nan<p>Chef Connie "Lovely" Jackson brings the fun with recipes that are perfect for entertaining and celebrating festive occasions. <b>Lovely Bites</b> is produced for OWN by FishBowl Worldwide Media.</p>1.623830e+09https://api.tvmaze.com/episodes/2083331
561983275https://www.tvmaze.com/episodes/1983275/eides-spraksjov-6x06-tourett-pa-sakTourett på sak6.06.0regular2020-12-2620:502020-12-26T19:50:00+00:0050.0nan51631https://www.tvmaze.com/shows/51631/eides-spraksjovEides språksjovTalk ShowNorwegian['Comedy']RunningNaN43.02017-01-11nanhttps://tv.nrk.no/serie/eides-spraaksjov3.0nan<p>Entertainment from here to the moon when Linda Eide and guests pay tribute and joke with language.</p>1.650017e+09https://api.tvmaze.com/episodes/1997814
571981354https://www.tvmaze.com/episodes/1981354/the-masked-singer-unmasked-1x01-episode-1Episode 11.01.0regular2020-12-2620:202020-12-26T20:20:00+00:0030.0<p>Will Njobvu presents a look behind the scenes at the most secretive show on TV. Here he's joined by Joel Dommett, Jonathan Ross, Rita Ora, Davina McCall and Mo Gilligan.</p>51434https://www.tvmaze.com/shows/51434/the-masked-singer-unmaskedThe Masked Singer: UnmaskedVarietyEnglish[]Ended30.030.02020-12-262021-02-13https://www.itv.com/hub/the-masked-singer-unmasked/10a095636.0nan<p>ITV is launching <b>The Masked Singer: Unmasked</b>, which will be hosted by Capital Xtra presenter Will Njobvu and air exclusively on ITV Hub.</p><p>The show will include exclusive first interview with each evening's unmasked celebrity, backstage gossip with panelists Jonathan Ross, Davina McCall, Rita Ora and Mo Gilligan, as well as other behind-the-scenes bits.</p>1.642633e+09https://api.tvmaze.com/episodes/1997815
581990346https://www.tvmaze.com/episodes/1990346/onyx-equinox-1x06-what-she-carriesWhat She Carries1.06.0regular2020-12-2616:002020-12-26T21:00:00+00:0024.0<p>After an unexpected shift in plans, the group find themselves in the remote city of Tajin, where they are immediately arrested for a crime they didn't commit.</p>48922https://www.tvmaze.com/shows/48922/onyx-equinoxOnyx EquinoxAnimationEnglish['Action', 'Adventure', 'Fantasy']Ended24.024.02020-11-212020-12-26https://www.crunchyroll.com/onyx-equinox46.0nan<p>A young Aztec boy is saved from death by the gods and chosen to act as ‘humanity's champion,' forced to discard his apathy toward his fellow man and prove humanity's potential in a fight that spans across fantastical-yet-authentic Mesoamerican cultures.</p>1.609360e+09https://api.tvmaze.com/episodes/1998673
591990347https://www.tvmaze.com/episodes/1990347/onyx-equinox-1x07-the-underworldThe Underworld1.07.0regular2020-12-2616:002020-12-26T21:00:00+00:0024.0<p>The group becomes trapped in the Underworld. Zyanya struggles to hide her secret.</p>48922https://www.tvmaze.com/shows/48922/onyx-equinoxOnyx EquinoxAnimationEnglish['Action', 'Adventure', 'Fantasy']Ended24.024.02020-11-212020-12-26https://www.crunchyroll.com/onyx-equinox46.0nan<p>A young Aztec boy is saved from death by the gods and chosen to act as ‘humanity's champion,' forced to discard his apathy toward his fellow man and prove humanity's potential in a fight that spans across fantastical-yet-authentic Mesoamerican cultures.</p>1.609360e+09https://api.tvmaze.com/episodes/1998674
601990348https://www.tvmaze.com/episodes/1990348/onyx-equinox-1x08-runRun1.08.0regular2020-12-2616:002020-12-26T21:00:00+00:0024.0<p>Mictecacihuatl sends the group to Danibaan. Zyanya's secret is revealed. </p>48922https://www.tvmaze.com/shows/48922/onyx-equinoxOnyx EquinoxAnimationEnglish['Action', 'Adventure', 'Fantasy']Ended24.024.02020-11-212020-12-26https://www.crunchyroll.com/onyx-equinox46.0nan<p>A young Aztec boy is saved from death by the gods and chosen to act as ‘humanity's champion,' forced to discard his apathy toward his fellow man and prove humanity's potential in a fight that spans across fantastical-yet-authentic Mesoamerican cultures.</p>1.609360e+09https://api.tvmaze.com/episodes/1998675
611990349https://www.tvmaze.com/episodes/1990349/onyx-equinox-1x09-death-from-aboveDeath from Above1.09.0regular2020-12-2616:002020-12-26T21:00:00+00:0024.0<p>On the run from Mictecacihuatl, the group seeks refuge in a remote village. </p>48922https://www.tvmaze.com/shows/48922/onyx-equinoxOnyx EquinoxAnimationEnglish['Action', 'Adventure', 'Fantasy']Ended24.024.02020-11-212020-12-26https://www.crunchyroll.com/onyx-equinox46.0nan<p>A young Aztec boy is saved from death by the gods and chosen to act as ‘humanity's champion,' forced to discard his apathy toward his fellow man and prove humanity's potential in a fight that spans across fantastical-yet-authentic Mesoamerican cultures.</p>1.609360e+09https://api.tvmaze.com/episodes/1998676
621990350https://www.tvmaze.com/episodes/1990350/onyx-equinox-1x10-death-from-belowDeath from Below1.010.0regular2020-12-2616:002020-12-26T21:00:00+00:0024.0<p>Reeling from Mitecacihuatl's attacks, the group reconvenes at the final gate. Tensions run high as Yaotl's motives are scrutinized. </p>48922https://www.tvmaze.com/shows/48922/onyx-equinoxOnyx EquinoxAnimationEnglish['Action', 'Adventure', 'Fantasy']Ended24.024.02020-11-212020-12-26https://www.crunchyroll.com/onyx-equinox46.0nan<p>A young Aztec boy is saved from death by the gods and chosen to act as ‘humanity's champion,' forced to discard his apathy toward his fellow man and prove humanity's potential in a fight that spans across fantastical-yet-authentic Mesoamerican cultures.</p>1.609360e+09https://api.tvmaze.com/episodes/1998678
631990351https://www.tvmaze.com/episodes/1990351/onyx-equinox-1x11-the-last-yearThe Last Year1.011.0regular2020-12-2616:002020-12-26T21:00:00+00:0024.0<p>A glimpse into the past reveals the true machinations of the Gods. </p>48922https://www.tvmaze.com/shows/48922/onyx-equinoxOnyx EquinoxAnimationEnglish['Action', 'Adventure', 'Fantasy']Ended24.024.02020-11-212020-12-26https://www.crunchyroll.com/onyx-equinox46.0nan<p>A young Aztec boy is saved from death by the gods and chosen to act as ‘humanity's champion,' forced to discard his apathy toward his fellow man and prove humanity's potential in a fight that spans across fantastical-yet-authentic Mesoamerican cultures.</p>1.609360e+09https://api.tvmaze.com/episodes/1998679
641990352https://www.tvmaze.com/episodes/1990352/onyx-equinox-1x12-the-betThe Bet1.012.0regular2020-12-2616:002020-12-26T21:00:00+00:0024.0<p>As the final gate looms and the Gods close in, Izel faces an impossible choice. </p>48922https://www.tvmaze.com/shows/48922/onyx-equinoxOnyx EquinoxAnimationEnglish['Action', 'Adventure', 'Fantasy']Ended24.024.02020-11-212020-12-26https://www.crunchyroll.com/onyx-equinox46.0nan<p>A young Aztec boy is saved from death by the gods and chosen to act as ‘humanity's champion,' forced to discard his apathy toward his fellow man and prove humanity's potential in a fight that spans across fantastical-yet-authentic Mesoamerican cultures.</p>1.609360e+09https://api.tvmaze.com/episodes/1998680